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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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International Journal of Radiation Oncology*Biology*Physics
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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.

3,661 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.
3,661 works in the cohort · of 4,299,418page 32 of 74

Labels cover 5 of 3,661 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 3,661 of 3,661 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
Are all consents really informed?
C. Carrié, Carolyn Freeman
2001· editorial· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
4
citations
affno abstractunlabeled
RTOG 90-03: Final Report
Jonathan J. Beitler, Q. Zhang, K.K. Fu, Andy Trotti, Sharon A. Spencer, Christopher U. Jones +4 more
2012· article· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
In response to Dr. Wang et al.
Alan E. Nahum, J. D. Chapman
2004· article· en· International Journal of Radiation Oncology*Biology*Physics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
In Regard to Freedland et al
Alejandro Berlín, Jenna Sykes, Alan Dal Pra, Charles Catton, Theodorus van der Kwast, Robert G. Bristow
2013· letter· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
In Regard to Vaidya et al
David E. Wazer, Jaroslaw T. Hepel, Adam I. Riker, Jay K. Harness, Caroline Chung, Atif J. Khan +3 more
2015· letter· en· International Journal of Radiation Oncology*Biology*Physics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Salvage Therapy for Isolated Local-Regional Breast Cancer Recurrence
J. Isabelle Choi, Danielle Rodin, Rima Patel, Joseph A. Sparano, Atif J. Khan, Naamit K. Gerber
2025· review· en· International Journal of Radiation Oncology*Biology*Physics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Caught in the Web: The Quality of Online Resources for Cancer Patients
Paris‐Ann Ingledew, D.N. El-Zammar, Elena P. Scali, Baljeet Brar, J. G. Lin, Irene Yu +1 more
2014· article· en· International Journal of Radiation Oncology*Biology*Physics· Health Professions
machine prediction:candidate · metaresearchconsensus · none
4
citations
affno abstractunlabeled
Small Cells, Big Problems
Hanbo Chen
2018· editorial· en· International Journal of Radiation Oncology*Biology*Physics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Stereotactic Body Radiation Therapy for Oligometastasis: GUst Do It?
Rachel Glicksman, David A. Palma, Matthew P. Deek, C. Jillian Tsai, S.J. Chmura, Shankar Siva +3 more
2022· letter· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Development of a Novel Platform for MR-Guided Radiation Therapy
David A. Jaffray, Marco Carlone, Stephen Breen, Michael Milosevic, Cynthia Ménard, T Stanescu +4 more
2013· article· en· International Journal of Radiation Oncology*Biology*Physics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
4
citations

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