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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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Artificial Intelligence in Healthcare
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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.

843 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.
843 works in the cohort · of 4,299,418page 6 of 17

Labels cover 7 of 843 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 843 of 843 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affno abstractunlabeled
Machine Intelligence and Emerging Technologies
Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
2023· book· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Health Professions
distilled prediction:candidate · stsconsensus · none
5
citations
affvenueaboutunlabeled
Connecting Data to Insight: A Pan-Canadian Study on AI in Healthcare
Zaki Hakim, Terra Ierasts, Irfan Hakim, Andre D'Penha, Kevin Smith, Michael Caesar
2020· article· en· Healthcare Quarterly· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · none
5
citations
aboutno affunlabeled
Stroke Prediction
Sydney Caulfeild, Sarah Pak, Nathanael Yao, Hoz Rashid
2021· article· en· Journal of Mechanics Engineering and Automation· Health Professions
distilled prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Identifying Prediabetes in Canadian Populations Using Machine Learning
Katherine Lu, Paijani Sheth, Zhi Lin Zhou, Kamyar Kazari, Aziz Guergachi, Karim Keshavjee +2 more
2024· preprint· en· medRxiv· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
Tree-Based Transforms for Privileged Learning
Mehdi Moradi, Tanveer Syeda-Mahmood, Soheil Hor
2016· book-chapter· en· Lecture notes in computer science· Health Professions
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
4
citations
afffundunlabeled
Developing a Social Platform using MERN Stack
Krutika Desai, Jinan Fiaidhi
2022· preprint· en· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · insufficient_payload
4
citations
fundno affno abstractunlabeled
International Conference on Biomedical and Health Informatics 2024
2025· book· en· World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity
3
citations
affaboutgemma · no categorygpt · no categorymodels split
Predicting Diabetes in Canadian Adults Using Machine Learning
Kayla Esser, Monica Duong, Khalil Kain, Son N. Tran, Aryan Sadeghi, Aziz Guergachi +3 more
2024· article· en· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations

How this was built: Screen · Findings · About