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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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Electronic Health Records Systems
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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.

2,603 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.
2,603 works in the cohort · of 4,299,418page 41 of 53

Labels cover 6 of 2,603 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 2,603 of 2,603 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 affno abstractunlabeled
10.1016/s1541-9800(10)70058-2
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(11)70753-0
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Leary, Alberta (Birth, 1899-11-18)
2012· other· en· Spectrum Research Repository (Concordia University)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Big Data and Patient Safety
Elizabeth M. Borycki, André Kushniruk
2019· book-chapter· en· Lecture notes in bioengineering· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
The Electronic Health Library of British Columbia (eHLbc)
Nancy Levesque
2007· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
North American Medical Informatics (NAMI)
James J. Cimino, André Kushniruk, Mark Casselman
2022· article· en· Yearbook of Medical Informatics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The HAIL platform for big health data
Syed Sibte Raza Abidi, Ali Daniyal, Ashraf Abusharekh, Samina Abidi
2013· article· en· Qatar Foundation Annual Research Forum Volume 2013 Issue 1· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mobile emergency triage support system
Wojtek Michalowski, Roman Słowiński, Szymon Wilk
2004· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(05)70747-x
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About