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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 the American College of Radiology
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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.

242 results · 1 filter active ·
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20042025
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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.
242 works in the cohort · of 4,299,418page 3 of 5

Labels cover 0 of 242 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 242 of 242 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
White Paper on P4 Concepts for Pediatric Imaging
Heike E. Daldrup‐Link, Christina L. Sammet, Marta Hernanz‐Schulman, Katherine A. Barsness, Anne Marie Cahill, Ellen Chung +10 more
2016· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Right Upper Quadrant Pain: 2022 Update
Gregory K. Russo, Atif Zaheer, Ihab R. Kamel, Kristin K. Porter, Krystal Archer-Arroyo, Mustafa R. Bashir +11 more
2023· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
ACR Appropriateness Criteria Assessment of Fetal Well-Being
Lynn L. Simpson, Nadia J. Khati, Sandeep P. Deshmukh, Kika M. Dudiak, Mukesh G. Harisinghani, Tara L. Henrichsen +6 more
2016· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affno abstractunlabeled
Current State of Peer Learning in Radiology: A Survey of ACR Members
Richard E. Sharpe, Mary Jo Tarrant, Olga R. Brook, Mythreyi Bhargavan, Humaira Chaudhry, Regan City +10 more
2023· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
12
citations
affno abstractunlabeled
Peer Review in Radiology: A Resident and Fellow Perspective
Jeffrey Grenville, David Doucette-Preville, Paraskevi A. Vlachou, Gevork N. Mnatzakanian, Antony Raikhlin, Errol Colak
2016· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
12
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Postpartum Hemorrhage
Jennifer W. Uyeda, Elizabeth George, Caroline Reinhold, Esma A. Akin, Susan M. Ascher, Olga R. Brook +10 more
2020· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Implementation of Structured Radiology Reports
Leanne Tran, Anupma Wadhwa, Erika Mann
2015· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Suspected Thoracic Aortic Aneurysm
Shelby J. Bennett, Karin E. Dill, Michael J. Hanley, Osman Ahmed, Benoit Desjardins, Kenneth L. Gage +7 more
2018· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
ACR Appropriateness Criteria ® on Treatment of Uterine Leiomyomas
Charles T. Burke, Brian Funaki, Charles E. Ray, Thomas B. Kinney, Jon K. Kostelic, Andrew Loesberg +7 more
2011· review· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Left Lower Quadrant Pain: 2023 Update
Stefanie Weinstein, David H. Kim, Kathryn J. Fowler, James H. Birkholz, Brooks D. Cash, Elizabeth Cilenti +12 more
2023· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Congenital or Acquired Heart Disease
Rajesh Krishnamurthy, Garima Suman, Sherwin S. Chan, Jacobo Kirsch, Ramesh S. Iyer, Michael A. Bolen +15 more
2023· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Fibroids
Susan M. Ascher, Ashish P. Wasnik, Jessica B. Robbins, Marisa Adelman, Olga R. Brook, Myra Feldman +6 more
2022· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
ACR Appropriateness Criteria® Dementia: 2024 Update
Karl A. Soderlund, Matthew J. Austin, Sharona Ben-Haim, Sammy Chu, Jana Ivanidze, Pallavi Joshi +11 more
2025· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affno abstractunlabeled
Who gets paid for diagnostic imaging, and how much?
David C. Levin, Vijay M. Rao, Laurence Parker, Andrea J. Maitino, Jonathan H. Sunshine
2004· article· en· Journal of the American College of Radiology· Medicine
machine prediction:candidate · noneconsensus · none
7
citations

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