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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 10 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. 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.

affunlabeled
Intelligent Tools for Precision Public Health
Anya Okhmatovskaia, David L. Buckeridge
2020· article· en· Studies in health technology and informatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The Pepper Robot in Healthcare: A Scoping Review
André Kushniruk, Elizabeth M. Borycki
2025· review· en· Studies in health technology and informatics· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Integrating Evidence-Based Interventions into Client Care Plans
Diane Doran, Paula Goering, Lynn Nagle, André Kushniruk, Irmajean Bajnok, Rani Srivastava
2009· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Complexity and Health Technology Safety
Elizabeth M. Borycki, Amr Farghali, André Kushniruk
2022· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Building Health Literacy Coalitions and NGOs
Sabrina Kurtz-Rossi, Farrah Schwartz, Guda Alemayehu, Peter Chang, Don Rubin
2020· article· en· Studies in health technology and informatics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About