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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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Canadian Association of Radiologists Journal
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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.

904 results · 1 filter active ·
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20092025
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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.
904 works in the cohort · of 4,299,418page 9 of 19

Labels cover 0 of 904 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 904 of 904 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.

affno abstractunlabeled
Elements of a Good Radiology Artificial Intelligence Paper
Bo Gong, Philippe Soyer, Matthew D. F. McInnes, Michael N. Patlas
2022· editorial· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
Case of the Month #173: Splenogonadal Fusion
Francis Patafio, John A. Dufton, Doug R. Walker
2011· article· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
Ethics in Radiology: Wait Lists Queue Jumping
Natalie Cunningham, Lynette Reid, Sarah MacSwain, James R. Clarke
2012· review· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Peritoneal Malignancy in Children: A Pictorial Review
Karl James, Conor O. Bogue, Amanda J. Murphy, Oscar M. Navarro
2016· review· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
The Role of Dual-Energy CT in Solid Organ Injury
Ahmad Abu-Omar, Nicolas Murray, Ismail Tawakol Ali, Faisal Khosa, Sarah Barrett, Adnan Sheikh +2 more
2023· review· en· Canadian Association of Radiologists Journal· Engineering
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
Barriers to Screening At-risk Populations in Canada
Daniel Cao, Mostafa Alabousi, Nataly Farshait, Michael N. Patlas
2022· review· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Gender Identity and Bone Densitometry
Ian Hammond, Brian C. Lentle, Lucretia van den Berg, Megan Vitols-McKay
2017· review· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Canadian Association of Radiologists Prostate MRI White Paper
Silvia D. Chang, Caroline Reinhold, Iain D. C. Kirkpatrick, Sharon E. Clarke, Nicola Schieda, Casey Hurrell +5 more
2022· article· en· Canadian Association of Radiologists Journal· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Climate Change: How Radiologists can Help
M. J. Brown, Bruce B. Forster
2022· editorial· en· Canadian Association of Radiologists Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations

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