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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.

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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 43 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
Ovarian cancer screening: UKCTOCS trial
Paul Hoskins, Walter H. Gotlieb
2016· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Webcast the World Health Assembly
Amir Attaran, David Benton, James Chauvin, Martin McKee, Valerie Percival
2014· letter· en· The Lancet· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
Can Canada reckon with its health costs?
Paul Webster
2012· article· en· The Lancet· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Micronutrient powders for young children
Parminder S. Suchdev, Lynnette M. Neufeld
2013· letter· en· The Lancet· Nursing
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Refugees in the eastern Mediterranean region
Kamel Aljouni, Yagob Al-Mazrou, Walid Ammar, Abdallah S. Daar, Nils Daulaire, Majid Ezzati +6 more
2015· letter· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Vitamin D supplements and bone mineral density
Spyridon Ν. Karras, Panagiotis Anagnostis, Olivier Beauchet, Dimitrios G. Goulis, Cédric Annweiler
2014· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
The Canadian CT Head Rule
Micelle J. Haydel
2001· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Deep vein thrombosis
Clive Kearon, Michael J. Kovacs, Jim A. Julian
2005· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Gaza and the complexity and context of suffering
Joel Zivot, Naomi Katz, Richard J. Deckelbaum, John D. Lantos, Jerome Teitel
2024· letter· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Transplanting suboptimum organs: medico-legal implications
Matthew Dyson, Christopher J.E. Watson, Kathleen Liddell, Nicola Padfield, J. Andrew Bradley, Kourosh Saeb‐Parsy
2015· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Pharmaceutical company advertising in The Lancet
Geoffrey Spurling, Peter Mansfield, Joel Lexchin
2011· letter· en· The Lancet· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Treating stroke in the 21st century
Roxana Oprisiu, Jean‐Marie Sérot, Sandra E. Black, Jean‐Michel Achard, A. Fournier
2007· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The case of a migrating bullet
Olivier Monneuse, Kalhed Al-Ahmadi, Najma Ahmed
2006· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About