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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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Heart Failure Treatment and Management
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.

3,428 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.
3,428 works in the cohort · of 4,299,418page 54 of 69

Labels cover 10 of 3,428 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 3,428 of 3,428 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.

affaboutunlabeled
Physical functioning predicts cognition in systolic heart failure
François Besnier, Christine Gagnon, Floriane Sellier, B. Bérubé, François Vachon, Évelyne Dupuy +9 more
2024· article· en· European Journal of Preventive Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Is PREMA exclusively associated with LLSVPs?
Jingao Liu, Ronghua Cai, Graham S. Pearson, Andrea Giuliani, Peter E. van Keken, Senan Oesch
2024· preprint· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Parochlus kiefferi
2015· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Decreased cardiac output: Diagnostic accuracy in heart transplant candidates
Lígia Neres Matos, Tereza Cristina Felippe Guimarães, Viviani Christini da Silva Lima, Ana Carla Dantas Cavalcanti, Liana Amorim Corrêa Trotte, Marcos Antônio Gomes Brandão
2019· article· en· Journal of Nursing Education and Practice· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Authors Reply to Letter to Editor
Karen Neoh, Andrew J. Page, Nicolas Chin‐Yee, Carolyn Dorée, Mike Bennett
2022· letter· en· Palliative Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1241-8234(01)00035-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About