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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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STUDIES IN HEALTH SCIENCES
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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.

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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.

10 results · 1 filter active ·
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20222025
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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.
10 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 10 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 10 of 10 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
Variações anatômicas na origem dos ramos do arco aórtico: relato de caso
Francarlos de Oliveira Souza, Andielle Cegolini, Eva Pales Amorim Neta, Ygor Ribeiro de Medeiros, Wanessa Pereira Campos Gonçalves Arraes, Luana Victória de Andrade Ramos +2 more
2023· article· pt· STUDIES IN HEALTH SCIENCES· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Uso dos inibidores de SGLT2 na insuficiência cardíaca: uma revisão de literatura
Igor Antônio Galvão Vieira, Nathaly Silva Santos, Maria Clara Albuquerque Sette Aguiar, Alexandre de Castro Brommonschenkel, Fernanda Caetano Solano Oliveira, Henrique Ulisses Duarte de Castro +1 more
2022· article· pt· STUDIES IN HEALTH SCIENCES· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About