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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.

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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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Clinical Reasoning and Diagnostic Skills
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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.

1,287 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.
1,287 works in the cohort · of 4,299,418page 1 of 26

Labels cover 7 of 1,287 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 1,287 of 1,287 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.

affunlabeled
Deep neural network improves fracture detection by clinicians
Robert Lindsey, Aaron Daluiski, Sumit Chopra, Alexander S. Lachapelle, Michael C. Mozer, Serge Sicular +5 more
2018· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
617
citations
affunlabeled
Diagnostic error and clinical reasoning
Geoffrey R. Norman, Kevin W. Eva
2009· review· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
491
citations
affunlabeled
Scripts and Medical Diagnostic Knowledge
Bernard Charlin, Jacques Tardif, Henny P. A. Boshuizen
2000· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
446
citations
affunlabeled
Scripts and clinical reasoning
Bernard Charlin, Henny P. A. Boshuizen, Eugène J. F. M. Custers, Paul J. Feltovich
2007· review· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
439
citations
affno abstractunlabeled
Overconfidence in Clinical Decision Making
Pat Croskerry, Geoff Norman
2008· letter· en· The American Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
260
citations
affno abstractunlabeled
Dual processing and diagnostic errors
Geoff Norman
2009· article· en· Advances in Health Sciences Education· Medicine
machine prediction:candidate · noneconsensus · none
244
citations
affaboutunlabeled
The Aging Physician
Kevin W. Eva
2002· review· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
190
citations
afffundaboutunlabeled
The Etiology of Diagnostic Errors
Geoffrey R. Norman, Jonathan Sherbino, Kelly Dore, Timothy J. Wood, Meredith Young, Wolfgang Gaissmaier +2 more
2013· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
173
citations
affunlabeled
The Value of Basic Science in Clinical Diagnosis
Nicole N. Woods, Alan J. Neville, Anthony J Levinson, Elizabeth Howey, Wieslaw Oczkowski, Geoffrey R. Norman
2006· article· en· Academic Medicine· Medicine
machine prediction:candidate · noneconsensus · none
162
citations
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How this was built: Screen · Findings · About