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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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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
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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.

522 results · 1 filter active ·
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20002025
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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.
522 works in the cohort · of 4,299,418page 5 of 11

Labels cover 10 of 522 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 522 of 522 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Incremental Propensity Score Effects for Time-fixed Exposures
Ashley I. Naimi, Jacqueline E. Rudolph, Edward H. Kennedy, Abigail R. Cartus, Sharon I. Kirkpatrick, David M. Haas +2 more
2021· article· en· Epidemiology· Mathematics
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Soy Formula and Breast Cancer Risk
Beatrice A. Boucher, Michelle Cotterchio, Nancy Kreiger, Lilian U. Thompson
2008· letter· en· Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Declining US Life Expectancy
Sam Harper, Jay S. Kaufman, Richard Cooper
2017· letter· en· Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Toward Open-source Epidemiology
Neal D. Goldstein
2017· editorial· en· Epidemiology· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
11
citations
affaboutunlabeled
Commentary
Jay S. Kaufman, Miguel A. Hernán
2012· article· en· Epidemiology· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
aboutno affunlabeled
Commentary
James Milner, Paul Wilkinson
2016· article· en· Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
9
citations
affgemma · no categorygpt · no categorymodels agree
Active and Passive Smoking in Breast Cancer
Kenneth C. Johnson, A. Judson Wells
2002· letter· en· Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Commentary
Paul Gustafson, Lawrence C. McCandless
2014· letter· en· Epidemiology· Mathematics
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Diesel, cars, and public health
David Rojas‐Rueda, Michelle C. Turner
2015· article· en· Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
8
citations
affaboutunlabeled
The Garden of Eden
David J.A. Jenkins, Cyril W.C. Kendall
2006· article· en· Epidemiology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
afffundgemma · no categorygpt · no categorymodels split
Impact of Colon Cancer Screening on Family History Phenotype
Polly A. Newcomb, Anamaria Savu, Amanda I. Phipps, Anna E. Coghill, Yutaka Yasui
2012· article· en· Epidemiology· Medicine
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About