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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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Surgical Simulation and Training
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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.

2,557 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.
2,557 works in the cohort · of 4,299,418page 43 of 52

Labels cover 3 of 2,557 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 2,557 of 2,557 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
Response to Letter From Bookless et al
Pritam Singh, Rajesh Aggarwal
2015· letter· en· Annals of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Real-time self-calibration of a tracked augmented reality display
Zachary M. C. Baum, András Lassó, Tamás Ungi, Gábor Fichtinger
2016· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Tool-tissue interaction force in glioma surgery
Abdulrahman Albakr, Amir Baghdadi, Rahul Singh, Sanju Lama, Garnette R. Sutherland
2024· article· en· Global Surgical Education - Journal of the Association for Surgical Education· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Low-Cost Task Trainer for In Utero Fetal Stent Placement
Elisabeth Codsi, Brian Brost, Joshua F. Nitsche
2023· article· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Perfect practice makes perfect
Edward D. Matsumoto
2015· article· en· Canadian Urological Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Reply to Letter
Vanessa N. Palter, Teodor Grantcharov
2014· letter· en· Annals of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
P.102 Simulation-based training for surgical instrument recognition
DB Clarke, Murray Hong, Nelofar Kureshi, Lynne Fenerty, Ginette Thibault-Halman, RC D’Arcy
2017· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Surgical Skills Training with Cryopreserved Rat Stomachs
Avelina Sotres-Vega, Jaime Villalba-Caloca, Shely Azrad-Daniel, Jazmín García-Montes, J. Luis Torre-Jaime, Isabel Guadarrama-Sánchez +2 more
2016· article· en· Journal of Veterinary Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Simulating mitral repair: lessons learned
Abigail White, Anna N. Zarzycki, Gianluigi Bisleri
2024· article· en· Current Opinion in Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About