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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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Occupational and environmental lung diseases
Retraction
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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
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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.

1,254 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.
1,254 works in the cohort · of 4,299,418page 22 of 26

Labels cover 2 of 1,254 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 1,254 of 1,254 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.

aboutno affunlabeled
NOTICE
2005· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Occupational Diseases
Professor Kerry Gardiner, Professor David Rees, Professor Anil Adisesh, Professor David Zalk, Professor Malcolm Harrington, Dr Roxane Gervais +1 more
2022· other· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Pleural Mesothelioma
James D. Brierley, Mary Gospodarowicz, Christian Wittekind
2017· other· en· TNM Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Pleural Mesothelioma
L. H. Sobin, M.K. Gospodarowicz, Ch. Wittekind
2010· other· en· TNM Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
O3B.6 The economic burden of work-related asbestos exposure
Emile Tompa, Christina Kalcevich, Chris McLeod, Martin Lebeau, Chaojie Song, Joanne Kim +1 more
2019· article· en· Occupational and Environmental Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Carcinogenicity Test
John H. Duffus, Monica Nordberg, Douglas M. Templeton
2016· dataset· en· IUPAC Standards Online· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply
Murray M. Finkelstein
2011· article· en· The Annals of Occupational Hygiene· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
O6B.2 Cancer risk by ore type in a mixed miners cohort
Paul A. Demers, Colin Berriault, Avinash Ramkissoon, Minh Tri Phan, Nancy Lightfoot, Xiaoke Zeng +1 more
2019· article· en· Occupational and Environmental Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About