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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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Global Cancer Incidence and Screening
Retraction
Abstract
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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
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,608 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.
2,608 works in the cohort · of 4,299,418page 39 of 53

Labels cover 12 of 2,608 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 2,608 of 2,608 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
Your views and letters
Marie Tarrant
2009· letter· en· Journal of Advanced Nursing· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
For the record
2010· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Cancer Prevention
Carolyn Gotay
2014· other· en· The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
Le point sur les tendances de l’incidence du cancer au Canada (1984-2017)
Alain Demers, Nathalie Saint‐Jacques, Larry F. Ellison, Darren R. Brenner, Tim Wood, Natalie Fitzgerald +2 more
2022· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Navigating Cancer Epidemiology
Mohammad Asad, Abdullah Al-Refai, Saqr Abushattal, Abedalrhman Alkhateeb
2024· book-chapter· en· Advances in business strategy and competitive advantage book series· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About