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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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The Lancet
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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.

2,654 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.
2,654 works in the cohort · of 4,299,418page 21 of 54

Labels cover 27 of 2,654 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 2,654 of 2,654 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.

affno abstractunlabeled
Public policy and health in the Trump era
Steffie Woolhandler, David U. Himmelstein, Sameer Ahmed, Zinzi Bailey, Mary T. Bassett, Michael E. Bird +27 more
2021· review· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
156
citations
fundno affno abstractunlabeled
The Lancet Breast Cancer Commission
Charlotte E. Coles, Helena Earl, Benjamin O. Anderson, Carlos H. Barrios, Maya Bienz, Judith M. Bliss +53 more
2024· review· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
154
citations
affno abstractunlabeled
Neglected diseases, civil conflicts, and the right to health
Chris Beyrer, Juan Carlos Villar, Voravit Suwanvanichkij, Sonal Singh, Stefan Baral, Edward J Mills
2007· review· en· The Lancet· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
154
citations
afffundno abstractunlabeled
CONSORT 2010 changes and testing blindness in RCTs
Kenneth F. Schulz, Douglas G. Altman, David Moher, Dean Fergusson
2010· article· en· The Lancet· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
149
citations
affno abstractunlabeled
Women, power, and cancer: a Lancet Commission
Ophira Ginsburg, Verna Vanderpuye, Ann Marie Beddoe, Nirmala Bhoo‐Pathy, Freddie Bray, Carlo Caduff +23 more
2023· review· en· The Lancet· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Disease-modifying anti-asthmatic drugs
Marek Lommatzsch, Guy Brusselle, Giorgio Walter Canonica, David J. Jackson, Parameswaran Nair, Roland Buhl +1 more
2022· review· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
143
citations
affno abstractunlabeled
Sponsorship, authorship, and accountability
Frank Davidoff, Catherine D. DeAngelis, Jeffrey M. Drazen, John Hoey, L Højgaard, Richard Horton +8 more
2001· article· en· The Lancet· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+research_integrityconsensus · none
141
citations

How this was built: Screen · Findings · About