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

106 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
106 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 106 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 106 of 106 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Assessment of neonatal respiratory rate variability
Jesse Coleman, Amy Sarah Ginsburg, William Macharia, Roseline Ochieng, Dorothy Chomba, Guohai Zhou +3 more
2022· article· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Technology III: in-line vaporizer with reflector
Azad Mashari, Joseph A. Fisher, Ludwik Fedorko, Marcin Wąsowicz, Massimiliano Meineri
2017· article· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Data intelligence is the future of monitoring
Andrew Seely
2014· letter· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · research_integrityconsensus · none
4
citations
affno abstractunlabeled
Deep reinforcement learning for multi-targets propofol dosing
Zheyan Tu, Sean Jeffries, Éric Pelletier, Oliver Cafferty, Joshua Morse, Avinash Sinha +1 more
2025· article· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Reliability of cuff pressure gauges
Julien Raft, Anne-Sophie Lamotte, Bruno Maury, Isabelle Clerc‐Urmès, Cédric Baumann, Philippe Richebé +1 more
2018· article· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Preoperative assessment of optic nerve sheath diameter and heart rate variability to predict intraoperative brain condition in patients with supratentorial tumors: a prospective observational study
Mathangi Krishnakumar, Kadarapura Nanjundaiah Gopalakrishna, C. Dhritiman, Varadarajan Bhadrinarayan, Mouleeswaran Sundaram, Amit Goyal +2 more
2022· article· en· Journal of Clinical Monitoring and Computing· Medicine
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
IONM protocols
Jonathan Norton
2021· editorial· en· Journal of Clinical Monitoring and Computing· Physics and Astronomy
distilled prediction:candidate · research_integrityconsensus · none
1
citations

How this was built: Screen · Findings · About