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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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Patient Safety and Medication Errors
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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.

1,743 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.
1,743 works in the cohort · of 4,299,418page 2 of 35

Labels cover 12 of 1,743 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 1,743 of 1,743 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Reporting of medical errors: An intensive care unit experience
Stephen Osmon, Carolyn B. Harris, W. Claiborne Dunagan, Donna Prentice, Victoria J. Fraser, Marin H. Kollef
2004· article· en· Critical Care Medicine· Health Professions
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
163
citations
aboutno affunlabeled
Your Health Care May Kill You: Medical Errors
James G. Anderson, Kathleen Abrahamson
2017· article· en· Studies in health technology and informatics· Health Professions
distilled prediction:candidate · stsconsensus · none
159
citations
afffundunlabeled
Trends in adverse events over time: why are we not improving?
Kaveh G Shojania, Eric J. Thomas
2013· editorial· en· BMJ Quality & Safety· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
146
citations
venueno affunlabeled
Defining and disseminating the hospital-at-home model
Bruce Leff
2009· letter· en· Canadian Medical Association Journal· Health Professions
distilled prediction:candidate · sts+research_integrity+insufficient_payloadconsensus · research_integrity
146
citations
afffundvenueunlabeled
Serious adverse events in academic critical care research
François Lauzier, Marcelo Rocha, Melissa Sayles, Simon Finfer
2008· article· en· Canadian Medical Association Journal· Health Professions
distilled prediction:candidate · metaresearch+sts+research_integrity+insufficient_payloadconsensus · insufficient_payload
145
citations
affunlabeled
The Feedback Sanction
Pat Croskerry
2000· review· en· Academic Emergency Medicine· Health Professions
distilled prediction:candidate · sts+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
140
citations
affunlabeled
Losing the Moment
Linda M. Hall, Cheryl Pedersen, Laura Fairley
2010· article· en· JONA The Journal of Nursing Administration· Health Professions
distilled prediction:candidate · noneconsensus · none
119
citations

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