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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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Medical Coding and Health Information
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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.

679 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.
679 works in the cohort · of 4,299,418page 7 of 14

Labels cover 6 of 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 679 of 679 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Using ICD-10 to optimize patient care
Pam Jodock
2015· article· en· Nursing Management· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Developing an Effective IM/IT Strategy
Sarah Krämer, Joanne Walker, Will Falk
2009· article· en· Healthcare Quarterly· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
Harnessing the power of longitudinal data.
David Barber, Rachael Morkem, John Queenan, Karen Hall Barber
2016· article· en· PubMed· Health Professions
distilled prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
The Canadian Health Clock and health calculators
Bernard C. K. Choi, Douglas G. Manuel
2020· review· en· Canadian Journal of Public Health· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrityconsensus · none
1
citations
venueno affunlabeled
Comparative study of disease categories: EHR interrogation
Priscilla Okunji, Nawar Shara, John Kwagyn, Ian M. Brooks, Gina Brown, Thomas A. Mellman
2019· article· en· Journal of Nursing Education and Practice· Health Professions
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
On some publications of Sir David Cox
Nancy Reid
2024· article· en· Scandinavian Journal of Statistics· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
Repealing the Factors Act 1889
Graham McBain
2016· article· en· International Law Research· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · insufficient_payload
1
citations
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