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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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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 45 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
End immigration detention: an open letter
Michaela Beder, Michelle Cohen, Katrina Hui, Carolina Jiménez
2018· letter· en· The Lancet· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Alcohol and health
C. Mary Schooling, GM Leung
2022· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affno abstractunlabeled
Jails, justice, and public health
Nicholas Freudenberg
2009· article· en· The Lancet· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Gender and global health: going, going, but not gone
Sarah Hawkes, Raewyn Connell, Jocalyn Clark, Jeni Klugman, Gary L. Darmstadt, Erica Nelson +4 more
2025· article· en· The Lancet· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affno abstractunlabeled
Reforming health care, Saskatchewan style
Jennifer Dixon
2001· article· en· The Lancet· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Gender and funding success
Silke Appel‐Cresswell, Pierre J. Blanchet, J Wysocki, Ronald B. Postuma
2019· letter· en· The Lancet· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
aboutno affno abstractunlabeled
Apartheid logic in global health
2022· article· en· The Lancet· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The GAS trial – Authors' reply
Andrew Davidson, Nicola Disma, Jurgen C. de Graaff, Davinia E. Withington, Mary Ellen McCann
2016· letter· en· The Lancet· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
China's progress in neonatal mortality
Diego G. Bassani, Daniel Roth
2011· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Deep anaesthesia
Salome Dell‐Kuster, Luzius A. Steiner, Jim Young
2020· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Shelter is key to delivering on COP27 commitments
Sean A. Kidd, Luiz A C Galvao, Shakoor Hajat, Mariya Bezgrebelna, Kwame McKenzie
2023· letter· en· The Lancet· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Multidrug-resistant tuberculosis – Authors' reply
Dick Menzies, Andrea Benedetti, Giovanni Battista Migliori, Payam Nahid, Barbara Seaworth
2019· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About