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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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Nature 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.

809 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.
809 works in the cohort · of 4,299,418page 1 of 17

Labels cover 4 of 809 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 809 of 809 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Soluble endoglin contributes to the pathogenesis of preeclampsia
Shivalingappa Venkatesha, Mourad Toporsian, Chun Sing Lam, Jun‐ichi Hanai, Tadanori Mammoto, Yeon M. Kim +13 more
2006· article· en· Nature Medicine· Medicine
distilled prediction:candidate · noneconsensus · none
1,843
citations
affno abstractunlabeled
Privacy in the age of medical big data
W. Nicholson Price, I. Glenn Cohen
2018· review· en· Nature Medicine· Medicine
distilled prediction:candidate · metaresearch+open_science+research_integrityconsensus · metaresearch+research_integrity
1,401
citations
afffundunlabeled
Joint international consensus statement for ending stigma of obesity
Francesco Rubino, Rebecca M. Puhl, David E. Cummings, Robert H. Eckel, Donna H. Ryan, Jeffrey I. Mechanick +30 more
2020· review· en· Nature Medicine· Health Professions
distilled prediction:candidate · research_integrity+insufficient_payloadconsensus · none
1,074
citations
affno abstractunlabeled
Do no harm: a roadmap for responsible machine learning for health care
Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Finale Doshi‐Velez, Kenneth Jung +6 more
2019· review· en· Nature Medicine· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
1,002
citations

How this was built: Screen · Findings · About