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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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Studies in health technology and informatics
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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.

990 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.
990 works in the cohort · of 4,299,418page 2 of 20

Labels cover 2 of 990 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 990 of 990 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Finding Knowledge Translation Articles in CINAHL
Cynthia Lokker, Nancy L Wilczynski, Donna Ciliska, Maureen Dobbins, David Davis, Sharon E. Straus
2010· article· en· Studies in health technology and informatics· Health Professions
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Patient Empowerment: The Role of Technology
Zoish Daruwalla, Vidhi Thakkar, Monica Aggarwal, Anahita Kiasatdolatabadi, Aziz Guergachi, Karim Keshavjee
2019· article· en· Studies in health technology and informatics· Health Professions
distilled prediction:candidate · noneconsensus · none
16
citations
affunlabeled
The eHealth Trust Model: A Patient Privacy Research Framework
Nelson Shen, John S. Strauss, Michelle Pannor Silver, Abigail Carter-Langford, David Wiljer
2019· article· en· Studies in health technology and informatics· Medicine
distilled prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Z-DOC: A Serious Game for Z-Plasty Procedure Training
Robert Shewaga, Aaron Knox, Gary Ng, Bill Kapralos, Adam Dubrowski
2013· article· en· Studies in health technology and informatics· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
affunlabeled
A Framework for Applied AI in Healthcare
Tran Truong, Paige Gilbank, Kaleigh Johnson-Cover, Adriana Ieraci
2019· article· en· Studies in health technology and informatics· Medicine
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Spine-Straight Device for the Treatment of Kyphosis
E. Lou, Jim Raso, Doug Hill, N.G. Durdle, Marc Moreau
2002· article· en· Studies in health technology and informatics· Medicine
distilled prediction:candidate · noneconsensus · none
13
citations

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