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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.

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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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BMJ evidence-based medicine
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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.

125 results · 1 filter active ·
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20182025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
125 works in the cohort · of 4,299,418page 3 of 3

Labels cover 115 of 125 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 125 of 125 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractgemma · no categorygpt · no categorymodels split
What is the place in therapy for nirmatrelvir/ritonavir?
Todd C. Lee, Jason M. Pogue, Erin K McCreary, Andrew M. Morris
2022· article· en· BMJ evidence-based medicine· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
1
citations
affno abstractgemma · metaresearchgpt · metaresearchmodels split
Implementing hierarchical network meta-analysis incorporating exchangeable dose effects compared to standard hierarchical network meta-analysis
Jennifer Watt, Mark Hofmeister, Cinzia Del Giovane, Rebecca Turner, Andrea C. Tricco, Dimitris Mavridis +2 more
2023· article· en· BMJ evidence-based medicine· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+bibliometrics+sts+scholarly_communication+insufficient_payloadconsensus · metaresearch+metaepi_narrow+metaepi_broad+insufficient_payload
1
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Ten resources for understanding bias in health research: EBM live workshop 2022
David Nunan, Kainat Bashir, Krish Bilimoria, Jasminder Birdi, Fiona Campbell, Rachel Dean +16 more
2023· article· en· BMJ evidence-based medicine· Health Professions
distilled prediction:candidate · metaresearch+sts+insufficient_payloadconsensus · metaresearch
0
citations
affno abstractgemma · no categorygpt · no categorymodels agree
A primer to planetary health in evidence-based medicine and clinical decision-making
Claudia Ebm, Alina Herrmann, Antonio Bognanni, Mehdi Aloosh, Charlotte T. J. Michels, Rafael José Vieira +3 more
2025· article· en· BMJ evidence-based medicine· Environmental Science
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractgemma · no categorygpt · no categorymodels agree
Top 15 Choosing Wisely international campaign recommendations to reduce low-value care
Wendy Levinson, Karen Born, Juan Víctor Ariel Franco, Karin Kopitowski
2025· letter· en· BMJ evidence-based medicine· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
0
citations
affno abstractgemma · no categorygpt · no categorymodels agree
In memory of Richard Saitz (1963–2022): former editor of BMJ Evidence-Based Medicine
Denise Campbell‐Scherer, Khalid S. Khan, Joshua J. Fenton, Caroline J. Kistin
2022· letter· en· BMJ evidence-based medicine· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · metaresearch+research_integrity
0
citations
affgemma · no categorygpt · no categorymodels agree
Understanding Risk for Better Stroke Prevention
Gustavo Saposnik
2018· letter· en· BMJ evidence-based medicine· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
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