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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,224 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,224 works in the cohort · of 4,299,418page 26 of 45

Labels cover 25 of 2,224 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,224 of 2,224 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
AAU endorses the NIH OA plan
Peter Suber
2004· preprint· en· Medicine
machine prediction:candidate · open_science+insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Dr. Everett Reid Cox
Canadian Urological Association
2013· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Conceptualizing centers of excellence: A global evidence
Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Claire E. Oppenheim, Asrat Hailu, Mirutse Giday, Girmay Medhin +5 more
2021· preprint· en· medRxiv· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
afffundgemma · metaresearchgpt · metaresearchmodels agree
What is expected of people who lead meetings where the goal is to reach consensus? A scoping review with implications for improving the quality of health research grant peer review and clinical guideline development
Mona Ghannad, Anna Catharina Vieira Armond, Jeremy Y. Ng, Hassan Khan, Dean Giustini, Anne M. Lasinsky +8 more
2025· review· en· medRxiv· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
venueno affunlabeled
Collective effort: our key to success
Lawrence C. Loh
2023· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
CARJ 2025: Year in Review
Hayley Briody, Kate Hanneman, Philippe Soyer, Michael N. Patlas
2025· review· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Administration
Mark J. Eisenberg
2010· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
1978: Forty years later
Robert Bortolussi, Stuart MacLeod, David R. Bevan, Jonathan B. Angel
2018· editorial· en· Clinical and investigative medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
CSCI PRESIDENT’S MESSAGE
Brent W. Winston
2011· article· en· Clinical and investigative medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Employment outlook 2022
special to C EN Chemjobber
2021· article· en· C&EN Global Enterprise· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Featuring Michael Houghton
Daniela M. Roth
2021· article· en· Eureka· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Abstract IA012: The NCTN biospecimen banks resource
Heather A. Lankes, Mark A. Watson, Jeffry Simko, Nilsa C. Ramirez, Scott D. Jewell, Lois E. Shepherd +2 more
2025· article· en· Cancer Epidemiology Biomarkers & Prevention· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About