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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 medical imaging and radiation sciences
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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.

934 results · 1 filter active ·
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20082025
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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.
934 works in the cohort · of 4,299,418page 16 of 19

Labels cover 6 of 934 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 934 of 934 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
Silent stories: A CT technologist's view
Yousif Al-Naser
2024· article· en· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Message from the Editor
Amanda Bolderston
2025· editorial· en· Journal of medical imaging and radiation sciences· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How to train your sparkle
2025· article· en· Journal of medical imaging and radiation sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractgemma · no categorygpt · no categorymodels split
Current Status of Personalized Care in Radiotherapy
2024· article· en· Journal of medical imaging and radiation sciences· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Identifying Barriers to Low Completion Rates of Symptoms Screening via Electronic Patient-Reported Outcome Measures (ePROMs) among Patients Receiving Radiation Therapy Treatments at Stronach Regional Cancer Centre (SRCC)
Agnes Cheung, Breanna McGilvray, Zahra Kassam, Danielle M. Pineda, Giovanna Wu, Asvena Sriharan +2 more
2025· article· en· Journal of medical imaging and radiation sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
About the Winning Cover Image
Eugene Leung
2017· article· en· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Message from the Guest Editor
Susan Fawcett
2016· editorial· en· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Proceedings from RTi3 2011: Inquire, Inspire, Innovate
Tara Rosewall, Amanda Bolderston, Annamarie Butler, Lisa DiProspero, Jane Higgins, Lori Holden +4 more
2011· article· en· Journal of medical imaging and radiation sciences· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Message From the Editor
2023· editorial· en· Journal of medical imaging and radiation sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Message de la directrice de la rédaction
2023· editorial· fr· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About