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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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Cardiac Imaging and Diagnostics
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
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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.

3,172 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.
3,172 works in the cohort · of 4,299,418page 40 of 64

Labels cover 6 of 3,172 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 3,172 of 3,172 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
<i>Radiology: Cardiothoracic Imaging</i> Highlights 2024
Roberta Catania, Aprateem Mukherjee, Jordan Chamberlin, Francisco Calle, Preethi Philomina, Domenico Mastrodicasa +4 more
2025· review· en· Radiology Cardiothoracic Imaging· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Laboratory Experience with the IR-TRACC Chest Deflection Transducer
Stephen W. Rouhana, Ali M. Elhagediab, D. Twisk, Jeffrey Berliner, Elias Baayoun, Dainius Dalmotas +1 more
2002· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Robin Hood effect!
Timothy D. Henry
2020· letter· en· Catheterization and Cardiovascular Interventions· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
O Uso da Inteligência Artificial (IA) como mecanismo analisador de imagens de ressonância magnética cardíaca para detectar inflamações e cicatrizes no músculo cardíaco: Uma revisão Sistemática
Eder Voltolini, Carolina Dossena, Rhuan Nantes Fontoura Teófilo, Eliézer Ferreira da Silva, Maycon Jorge Brandolim, Gabriel Henrique do Prado Gonçalves +9 more
2024· article· pt· Brazilian Journal of Implantology and Health Sciences· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About