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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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Medical Imaging and Analysis
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

657 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.
657 works in the cohort · of 4,299,418page 6 of 14

Labels cover 3 of 657 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 657 of 657 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
2777
D. Létourneau, Michael R. Kaus, D. Grabarz, Rebecca Wong, Mary Gospodarowicz, David A. Jaffray
2006· article· en· International Journal of Radiation Oncology*Biology*Physics· Engineering
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Morphometric Analysis of one Anatomic Scoliotic Specimen
Stefan Parent, Hubert Labelle, Anca Mitulescu, Bruce Latimer, Wafa Skalli
2002· article· en· Studies in health technology and informatics· Engineering
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A Deep Learning Approach for Single Shot C-Arm Pose Estimation
Hooman Esfandiari, Sebastian Andreß, Maternus Herold, Wolfgang Böcker, Simon Weidert, Antony J. Hodgson
2020· article· en· EPiC series in health sciences· Engineering
distilled prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Osteoporotic Vertebral Fracture Prevalence Varies Widely
Nigel Gilchrist, John Quayle, Greg Hamilton, Lynda Te Momo
2018· letter· en· Journal of Bone and Mineral Research· Engineering
distilled prediction:candidate · research_integrityconsensus · none
4
citations
affunlabeled
Intervention in Vascular Lesions of the Vertebrae
Cheemun Lum, Karel G. terBrugge
2002· article· en· Seminars in Interventional Radiology· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
afffundno abstractunlabeled
Spine labeling in MRI via regularized distribution matching
Seyed‐Parsa Hojjat, Ismail Ben Ayed, Gregory J. Garvin, Kumaradevan Punithakumar
2017· article· en· International Journal of Computer Assisted Radiology and Surgery· Engineering
distilled prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About