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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
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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 11 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.

affno abstractunlabeled
Enterprise Health Information Systems
2006· book-chapter· en· Health Informatics· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · research_integrity
0
citations
venueno affunlabeled
Innovative Health Technologies Based on Big Data
Serik Smagulov, Viktoriya Smagulova
2019· article· en· Intellectual Archive· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
International workshop on Artificial Intelligence in Medical Applications
Krzysztof Pancerz, Łukasz Piątek, Aliaksei Andrushevich, Jan G. Bazan, Jaime S. Cardoso, David A. Clifton +13 more
2013· article· en· Federated Conference on Computer Science and Information Systems· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)85466-5
2000· article· en· Time to knit· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Dataset from Shrestha et al., JCI Insight (2021)
Shristi Shrestha, Diane C. Saunders, John T. Walker, Joan Camuñas-Soler, Xiao-Qing Dai, Rachana Haliyur +11 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Book Review: Analyzing medical data using S-PLUS
John C. Nash
2004· article· en· Statistical Methods in Medical Research· Health Professions
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch+insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0197-2510(08)70211-0
A.J. Heightman
2000· editorial· en· Time to knit· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
0
citations
affunlabeled
MaMI dataset
Laura E. Suárez, Yossi Yoval, Martijn P. van den Heuvel, Olaf Sporns, Guillaume Lajoie, Bratislav Mišić
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.51847/cUp0ZXE
2000· article· en· Time to knit· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Recurrent Linear Transformers
Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White
2023· preprint· en· arXiv (Cornell University)· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(10)70383-7
2000· article· en· Time to knit· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
An Approach to “Big Data”
Lucas Gallo, Oluwatobi R. Olaiya, Christopher J. Coroneos
2023· article· en· Plastic Surgery· Health Professions
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affno abstractgemma · no categorygpt · no categorymodels agree
A Framework for System-level Health Data Sharing
Mana Azarm, Craig Kuziemsky, Liam Peyton
2020· article· en· Health Professions
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About