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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
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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.

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 4 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.

affunlabeled
Data Science---A Systematic Treatment
M. TAMER ÖZSU
2023· article· en· Communications of the ACM· Health Professions
distilled prediction:candidate · metaresearch+sts+open_science+insufficient_payloadconsensus · open_science
14
citations
afffundunlabeled
Prediction models of diabetes complications: a scoping review
Ruth Ndjaboué, Gérard Ngueta, Charlotte Rochefort-Brihay, Sasha Delorme, Daniel Guay, Noah Ivers +8 more
2022· review· en· Journal of Epidemiology & Community Health· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrityconsensus · metaresearch
14
citations
afffundunlabeled
Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier
Sakib Mahmud, Md. Mamun Ali, Mohammad Fahim Shahriar, Fahad Ahmed Al-Zahrani, Kawsar Ahmed, Dip Nandi +1 more
2023· article· en· Computers, materials & continua/Computers, materials & continua (Print)· Health Professions
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
13
citations
affunlabeled
A Generic Knowledge Based Medical Diagnosis Expert System
Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan +3 more
2021· article· en· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
13
citations
affno abstractunlabeled
Machine learning is changing osteoporosis detection: an integrative review
Yuji Zhang, Ming Ma, Xingchun Huang, Jinmin Liu, Cong Tian, Zhenkun Duan +3 more
2025· review· en· Osteoporosis International· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · insufficient_payload
12
citations
venueno affunlabeled
Applications of Cloud Computing in Health Systems
Hamid Moghaddasi, Alireza Tabatabaei Tabrizi
2016· article· en· Global Journal of Health Science· Health Professions
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Analysis of Categorical Data with R
Christopher R. Bilder, Thomas M. Loughin
2024· book· en· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
9
citations

How this was built: Screen · Findings · About