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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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Radiation Dose and Imaging
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.

affaffiliation
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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.

1,347 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.
1,347 works in the cohort · of 4,299,418page 25 of 27

Labels cover 10 of 1,347 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 1,347 of 1,347 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
SU‐F‐J‐49: IGRT Credentialing in NCTN Trials
J Lowenstein, A Molineu, Hania Al‐Hallaq, M.M. Matuszak, T. Craig, Kenneth Ulin +3 more
2016· article· en· Medical Physics· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Just the facts: radiation from CT scanning
James Worrall, Hashem Al-Dujaili, D. B. Macdonald
2024· article· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Clinical Neuropathology Conference: “Liquid Assets”
Amirti Vivekanandan, Shervin Pejhan, Michael J. Strong, Joseph Megyesi, Andrew Leung, Maria MacDonald +2 more
2025· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Top Ten Recommendations
Linda Bird
2025· book-chapter· en· Health information technology standards· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Reply to T. Dosios
D Abramov
2000· article· en· European Journal of Cardio-Thoracic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reducing Pediatric CTs Just Got Easier
Blake Briggs
2024· article· en· Emergency Medicine News· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A curious case: a criminal exposure to X-rays
Jacques Blanchette, Farah Nasser, Yvan Dutil
2025· article· en· Radiation Protection Dosimetry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About