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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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Journal of Clinical Oncology
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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
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.

9,514 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.
9,514 works in the cohort · of 4,299,418page 110 of 191

Labels cover 106 of 9,514 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 9,514 of 9,514 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.

affunlabeled
Health state utility assessment for low-grade glioma.
Debarati Bhanja, Hannah Wilding, Kyle Tuohy, Ahmad Ozair, Nima Hamidi, Leonardo de Macêdo Filho +7 more
2024· article· en· Journal of Clinical Oncology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
In Reply:
Isabelle Bairati, François Meyer
2006· article· en· Journal of Clinical Oncology· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
On the Strength of a Recommendation
Michael Sanatani
2024· article· en· Journal of Clinical Oncology· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affgemma · metaresearchgpt · no categorymodels split
Caregivers' accuracy in reporting patients' symptom: A preliminary report.
Paola Langer, Pedro Emilio Perez‐Cruz, Cecilia Carrasco Escarate, Pilar Bonati, Bogomila Batic, Laura Tupper +1 more
2016· article· en· Journal of Clinical Oncology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About