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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
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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.

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 34 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
Fundamentals of digital surgery
Bin Zheng, Xiu-jun Cai
2025· article· en· Laparoscopic Endoscopic and Robotic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Evaluation of a curved surgical prototype in a human larynx
Leon R. Schild, Felix Boehm, Linus L. Kienle, Andreas Martin Seitz, Lüder A. Kahrs, Tobias M. Boeckers +3 more
2021· article· en· European Archives of Oto-Rhino-Laryngology· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Artificial intelligence in surgery
Simon Laplante, Amin Madani
2023· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Comparison of Multimodal Notifications During Telesurgery
Rachael L’Orsa, Kourosh Zareinia, C.J.B. Macnab, Garnette R. Sutherland
2014· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueno abstractunlabeled
Endometriosis Imaging: Enter the Metaverse of Possibilities
Carly Cooke, Teresa E. Flaxman, Daniel J. La Russa, Shauna Duigenan, Sukhbir S. Singh
2023· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Representing flexible endoscope shapes with hermite splines
Elvis C. S. Chen, Sharyle Fowler, Lawrence Hookey, Randy E. Ellis
2010· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Refining How We Define Laparoscopic Expertise
Aodhnait S. Fahy, Luai Jamal, Brian Carrillo, J. Ted Gerstle, Ahmed Nasr, Georges Azzie
2019· article· en· Journal of Laparoendoscopic & Advanced Surgical Techniques· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
The Inception of the Canadian Medical Student Interest Group in Neurosurgery (CaMSIGN): A Student-Led Platform Dedicated to Neurosurgical Education, Research, Mentorship, and Advocacy
Saman Arfaie, Pedram Laghaei Farimani, Mohammad Sadegh Mashayekhi, Benyamin Hakak‐Zargar, Mostafa Fatehi, Jenna Smith‐Forrester +4 more
2022· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About