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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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 9 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.

venueno affunlabeled
The inquiry model of medicine
Alex Broadbent
2019· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
aboutno affunlabeled
Preparing Your Curriculum Vitae
Kim E. Barrett
2002· article· en· Journal of Pediatric Gastroenterology and Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
Problems with Co-Funding in Canada
Mike Tyers, Eric C. Brown, David W. Andrews, John Bergeron, Charles Boone, Rod Bremner +34 more
2005· letter· en· Science· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
Why did I become a clinician-trialist?
David L. Sackett
2015· article· en· Journal of the Royal Society of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Con
Peter T. Macklem
2004· letter· en· American Journal of Respiratory and Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
afffundaboutunlabeled
The psychiatry resident research experience
Frank P. MacMaster, Jordan Cohen, Waqar Waheed, Emilie Magaud, Mariko Sembo, Lisa Marie Langevin +1 more
2016· article· en· BMC Research Notes· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
The American Orthopaedic Association Clinical Trials Curriculum
Ivan Diamond, Camille Murray, Michael J. Bosse, James D. Heckman, Sohail K. Mirza, Terrance D. Peabody +3 more
2009· article· en· Journal of Bone and Joint Surgery· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affaboutunlabeled
Lost: Young Canadian physician-scientists need a map
Ryan T. Lewinson, Michael B. Keough, Paul L. Beck, Morley D. Hollenberg, Bryan G. Yipp
2016· review· en· Science Translational Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
The Push to Subspecialize
Michael Goldfarb
2014· editorial· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affvenueaboutunlabeled
The physician–scientist in Canadian psychiatry
William G. Honer, Mary Ann Linseman
2004· article· en· Journal of Psychiatry and Neuroscience· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
H-index and Academic Medicine
Ishwarlal Jialal, William E. Schreiber, Dean Giustini
2019· letter· en· American Journal of Clinical Pathology· Medicine
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
7
citations
aboutno affno abstractunlabeled
Learn from Canada's dark age of science
Alana R. Westwood, Kathleen E. Walsh, Katie Gibbs
2017· letter· en· Nature· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affaboutunlabeled
Perceptions of a faculty mentorship programme
Lil Miedzinski, Winnie Wing-Sze Wong, J Charles Morrison
2009· article· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About