Running pattern detector against the corpus
The dataset shows entities that received substantial federal funding then ceased appearing in the corpus — flagging recipients that went silent after the money flowed.
Glassbox surfaces correlations and observations, not findings of misconduct. Severity is a calibrated read on how strongly the dataset matches the pattern definition — a starting point for review, not a verdict.
The match meets the pattern threshold but the signal is the lower band. Normal review queue.
The match exceeds the routine threshold. Worth a closer look — pull the source rows, walk the citation.
The match is in the highest band of the calibrated scale. Recommend: prioritise for active review.
Severity is computed from the detection signal · recipient total (original commitments, is_amendment = false) ≥ p90 of recipient totals within the recipient's primary department AND ≥ $500K floor · last agreement_start_date < as-of − 36 months, as-of = MAX(agreement_start_date) ≤ CURRENT_DATE · signal = years silent
The dataset shows RESPONSE BIOMEDICAL CORP. - AKA: RBC received $836,355 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by National Research Council Canada | Conseil national de recherches Canada — with the most recent agreement dated 2014-09-26: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
Once a match is identified, the dataset suggests these review actions. Glassbox does not prescribe outcomes — these are calibrated options for funders, auditors, and program officers, framed as correlations to investigate.
Cross-reference the recipient legal name with the relevant federal/provincial corporate registry. An active corporate status with no recent grant activity may indicate program completion (normal); a dissolved or in-default status with prior public funding warrants review.
If the recipient is a registered charity (CRA-registered), pull the most recent T3010 filing date. A gap exceeding 18 months is a regulatory issue independent of the federal-funding silence.
Did the funded program complete? Was the final report submitted? Were funds returned, if applicable? Silence in the corpus is not evidence of incompletion, but it is the signal to verify.
Some zombies are just program endings; others are entity disappearances after public money flowed. Close the match with reasoning, or move to active monitoring if outcomes are unclear.
These are calibrated suggestions, not directives. The dataset shows the pattern; the funder decides the response.
Aggregated from the matches below. Severity bands are calibrated per pattern; counts and dollar totals reflect this snapshot only.
The dataset shows Les Industries G.R.C. inc. received $1,896,000 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canada Economic Development for Quebec Regions | Développement économique Canada pour les régions du Québec — with the most recent agreement dated 2014-09-26: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Organisation internationale de la Francophonie|L'Organisation internationale de la Francophonie (OIF) received $7,500,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Global Affairs Canada | Affaires mondiales Canada — with the most recent agreement dated 2014-09-26: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Seven Generations Education Institute received $5,377,008 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Employment and Social Development Canada | Emploi et Développement social Canada — with the most recent agreement dated 2014-09-29: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Terrace Kitimat Airport Society|Société de l'aéroport de Terrace-Kitimat received $3,658,904 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Transport Canada | Transports Canada — with the most recent agreement dated 2014-09-29: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows Wescam Inc. (BN 889433058) received $75,011,600 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Innovation, Science and Economic Development Canada | Innovation, Sciences et Développement économique Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · A single large capital or research award is expected to be followed by silence; one-off funding is not a zombie signal on its own.
The dataset shows COHEN, Eric A received $8,669,071 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows Composites Atlantic Limited|Composites Atlantic Limited received $5,156,309 across 7 federal agreements from 1 department — above the 90th percentile of recipients funded by Atlantic Canada Opportunities Agency | Agence de promotion économique du Canada atlantique — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows EDWARDS, Aled M received $39,378,641 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HALPERIN, Scott A received $8,249,740 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HEYLAND, Daren K received $25,144,369 across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows NAGY, Andras received $5,802,400 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HOGG, Robert S received $5,612,298 across 8 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows DEVEREAUX, Philip J received $4,559,073 across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows FREEDMAN, Stephen B received $4,325,683 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BRUMELL, John H received $4,270,488 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KARMAZYN, Morris received $4,158,394 across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows ANAND, Sonia S received $4,003,867 across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows MARSHALL, Jean S received $3,901,043 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows NEEL, Benjamin G received $3,665,187 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BARKER, Philip A received $3,291,090 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows RETNAKARAN, Ravi R received $3,252,486 across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BROWNSTONE, Robert M received $3,141,935 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows LOEB, Mark B received $3,082,542 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BLENCOWE, Benjamin J received $3,049,833 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KACZOROWSKI, Janusz A received $2,996,974 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows GINGRAS, Anne-Claude received $2,958,595 across 6 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BOULIANNE, Gabrielle L received $2,954,814 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows CHARRON, Frederic received $2,910,319 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows ROSSI, Fabio M received $2,878,077 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows BROWN, Eric D received $2,803,694 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows WANG, Yu Tian received $2,791,571 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows WESTAWAY, David received $2,779,926 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows HIETER, Philip A received $2,766,120 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows MCCULLOCH, Christopher A received $2,755,226 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows MARC, Isabelle received $2,726,763 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows DAVIDGE, Sandra T received $2,695,629 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows RIDDE, Valéry received $2,685,381 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows MICHALAK, Marek S received $2,665,770 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows EXNER, Derek V received $2,648,736 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows FOSTER, F. Stuart received $2,545,694 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows RUBINSTEIN, John L received $2,462,810 across 2 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KIZHAKKEDATHU, Jayachandran N received $2,443,621 across 5 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows FINLAY, Barton B received $2,414,406 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows LILLICRAP, David P received $2,409,085 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows CHEN, Robert received $2,386,496 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows OBERLANDER, Timothy F received $2,382,076 across 4 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows OHH, Michael received $2,373,750 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows STINSON, Jennifer N received $2,368,754 across 10 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).
The dataset shows KARSAN, Aly received $2,356,012 across 3 federal agreements from 1 department — above the 90th percentile of recipients funded by Canadian Institutes of Health Research | Instituts de recherche en santé du Canada — with the most recent agreement dated 2014-10-01: 11.9 years of subsequent silence in the corpus as of 2026-09-01.
Why this may be benign · The recipient business number is missing or a placeholder ('0', all-zeros, '-', 'n/a'): rows were grouped by legal name only, so distinct entities with the same name may be merged (KNOWN-DATA-ISSUES F-6/F-7).