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 Catholic Cross-Cultural Services received $98,991,413 across 29 federal agreements from 1 department — above the 90th percentile of recipients funded by Immigration, Refugees and Citizenship Canada | Immigration, Réfugiés et Citoyenneté Canada — with the most recent agreement dated 2014-04-01: 12.4 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 CHERTKOW, Howard M received $22,564,091 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 2014-04-01: 12.4 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 HUMAN FRONTIER, Science Program received $8,012,504 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 2014-04-01: 12.4 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 KAWARTHA ETHANOL INC. received $40,007,000 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Natural Resources Canada | Ressources naturelles Canada — with the most recent agreement dated 2014-04-01: 12.4 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 MALLA, Ashok K received $12,425,000 across 1 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 2014-04-01: 12.4 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 MINISTRY OF COMMUNITY AND SOCIAL SERVICES received $266,174,943 across 1 federal agreements from 1 department — above the 90th percentile of recipients funded by Crown-Indigenous Relations and Northern Affairs Canada | Relations Couronne-Autochtones et Affaires du Nord Canada — with the most recent agreement dated 2014-04-01: 12.4 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 The Governing Council of the Salvation Army received $802,232 across 3 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 2014-04-01: 12.4 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 WEST, Lori J received $16,056,411 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 2014-04-01: 12.4 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 UNIVERSITY OF BRITISH, Columbia received $6,750,000 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 2014-04-01: 12.4 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 BOYLE, Michael H received $5,531,102 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 2014-04-01: 12.4 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 DENNIS, Cindy-Lee E received $4,064,401 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 2014-04-01: 12.4 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 HOWELL, Patricia L received $3,736,260 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 2014-04-01: 12.4 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 ATTISANO, Liliana received $3,718,850 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 2014-04-01: 12.4 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 KELLER, Gordon M received $3,679,449 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 2014-04-01: 12.4 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 TRIMBLE, William S received $3,657,167 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 2014-04-01: 12.4 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 DUROCHER, Daniel received $3,401,275 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 2014-04-01: 12.4 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 ANDREWS, Brenda J received $3,100,114 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 2014-04-01: 12.4 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 PETRONIS, Arturas received $3,068,002 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 2014-04-01: 12.4 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 LIU, Peter P received $3,016,635 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 2014-04-01: 12.4 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 MULLER, William J received $2,961,175 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 2014-04-01: 12.4 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 SHANNON, Kate received $2,900,138 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 2014-04-01: 12.4 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 MORSHEAD, Cindi M received $2,811,838 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 2014-04-01: 12.4 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 SIMINOVITCH, Katherine A received $2,781,884 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 2014-04-01: 12.4 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 KOBOR, Michael S received $2,738,820 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 2014-04-01: 12.4 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 BOIVIN, Guy received $2,702,056 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 2014-04-01: 12.4 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 THE GAIRDNER, Foundation received $2,700,000 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 2014-04-01: 12.4 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 STANFORD, William L received $2,681,415 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 2014-04-01: 12.4 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 TURECKI, Gustavo X received $2,649,612 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 2014-04-01: 12.4 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 MCBRIDE, Heidi M received $2,596,204 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 2014-04-01: 12.4 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 YASSI, Annalee received $2,445,111 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 2014-04-01: 12.4 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 ZANDSTRA, Peter W received $2,436,125 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 2014-04-01: 12.4 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 RICHARD, Stéphane received $2,399,305 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 2014-04-01: 12.4 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 MICHNICK, Stephen W received $2,296,920 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 2014-04-01: 12.4 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 HORNER, Richard L received $2,271,205 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 2014-04-01: 12.4 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 SCHIEMAN, Scott received $2,256,182 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 2014-04-01: 12.4 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 MULTHAUP, Gerhard received $2,236,640 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 2014-04-01: 12.4 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 VIDAL, Silvia M received $2,241,655 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 2014-04-01: 12.4 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 GUILLEMETTE, Chantal received $2,188,008 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 2014-04-01: 12.4 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 ASHKAR, Ali A received $2,165,360 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 2014-04-01: 12.4 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 PENN, Linda Z received $2,130,659 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 2014-04-01: 12.4 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 MUSHAHWAR, Vivian received $2,115,414 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 2014-04-01: 12.4 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 LEE, Jeffrey E received $2,058,259 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 2014-04-01: 12.4 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 DOUKETIS, James D received $2,039,986 across 1 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 2014-04-01: 12.4 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 KING, Gillian A received $2,016,109 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 2014-04-01: 12.4 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 SULLIVAN, Michael J received $2,006,829 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 2014-04-01: 12.4 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 VEILLETTE, André received $1,989,120 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 2014-04-01: 12.4 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 PERRAULT, Louis P received $1,923,671 across 1 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 2014-04-01: 12.4 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 VOCADLO, David received $1,928,667 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 2014-04-01: 12.4 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 BIRKEN, Catherine S received $1,912,217 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 2014-04-01: 12.4 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 DOS SANTOS, Claudia C received $1,875,152 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 2014-04-01: 12.4 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).