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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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Health Sciences Research and Education
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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.

2,679 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,679 works in the cohort · of 4,299,418page 12 of 54

Labels cover 60 of 2,679 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 2,679 of 2,679 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.

affno abstractunlabeled
Presenting at journal club: a guide
Clare Atzema
2004· article· en· Annals of Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affvenueunlabeled
The Hope Research Community of Practice
Janet Landeen, Helen Kirkpatrick, Winnifred Doyle
2017· article· en· Canadian Journal of Nursing Research· Health Professions
machine prediction:candidate · metaresearchconsensus · none
16
citations
venueno affno abstractgpt · no categorygrok · no categoryopus · metaresearchmodels split
Evidence-based librarianship Level of evidence
Jonathan D. Eldredge
2002· article· en· Hypothesis· Health Professions
machine prediction:candidate · metaresearchconsensus · none
16
citations
affgemma · no categorygpt · no categorymodels agree
EBM, CME and the EMR
Roland Grad, Pierre Pluye, Michael Shulha, David Li Tang, Karen Tu, Ken Goodman +1 more
2013· article· en· Evidence-Based Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
The Operations Manual
Ann Marie Bowman, Jean F. Wyman, Jennifer M. Peters
2002· article· en· Nursing Research· Health Professions
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
16
citations
affunlabeled
The process of evidence‐based medicine and the search for meaning
Rakesh Biswas, Shashikiran Umakanth, Joachim Strumberg, Carmel M. Martin, Manjunath Hande, Jagbir S. Nagra
2007· article· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
15
citations
affunlabeled
Building Knowledge for Safer Care
Lianne Jeffs, Orla Smith, Gail Wilson, Melanie Kazman Kohn, Heather Campbell, M Maione +2 more
2009· article· en· Journal of Nursing Care Quality· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
afffundvenueaboutunlabeled
Advocacy in pharmacy
Luke Boechler, Robyn Despins, Jennifer Holmes, Jolene Northey, Cooper Sinclair, Matthew Walliser +1 more
2015· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Why Using Research Matters
Anna Ehrenberg, Carole A. Estabrooks
2004· article· en· Journal of Wound Ostomy and Continence Nursing· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
14
citations

How this was built: Screen · Findings · About