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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.

affaffiliation
fundfunder
venuejournal
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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 5 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Patient Portal Use in Diabetes Management: Literature Review
Ran Sun, Mary T. Korytkowski, Susan M. Sereika, Melissa Saul, Dan Li, Lora E. Burke
2018· review· en· JMIR Diabetes· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity
66
citations
affno abstractunlabeled
A framework for evaluating usability of clinical monitoring technology
Jeremy Daniels, Sidney Fels, André Kushniruk, Joanne Lim, J. Mark Ansermino
2007· review· en· Journal of Clinical Monitoring and Computing· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · metaresearch+research_integrity
66
citations
affaboutunlabeled
Are Future Nurses Ready for Digital Health?
Manal Kleib, Lynn Nagle, Karen Furlong, Pauline Paul, Uirá Duarte Wisnesky, Shamsa Ali
2022· article· en· Nurse Educator· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
66
citations
afffundunlabeled
Getting the Big Picture
Ellen Balka
2003· article· en· Methods of Information in Medicine· Health Professions
distilled prediction:candidate · metaresearchconsensus · none
59
citations
affunlabeled
Informatics Competencies for Nurse Leaders
Gillian Strudwick, Lynn Nagle, Iman Kassam, Meera Pahwa, Lydia Sequeira
2019· article· en· JONA The Journal of Nursing Administration· Health Professions
distilled prediction:candidate · noneconsensus · none
56
citations
afffundaboutunlabeled
Implementation of an electronic medical record in family practice:a case study
Marie‐Pierre Gagnon, Marie Desmartis, Michel Labrecque, France L gar, Lise Lamothe, Jean‐Paul Fortin +2 more
2010· article· en· Journal of Innovation in Health Informatics· Health Professions
distilled prediction:candidate · metaresearch+research_integrityconsensus · none
55
citations
affunlabeled
Healthcare information technology and economics
Thomas H. Payne, David W. Bates, Eta S. Berner, Elmer V. Bernstam, H. Dominic Covvey, Mark E. Frisse +9 more
2012· article· en· Journal of the American Medical Informatics Association· Health Professions
distilled prediction:candidate · noneconsensus · none
53
citations

How this was built: Screen · Findings · About