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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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Anesthesia and Pain Management
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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.

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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.

3,080 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.
3,080 works in the cohort · of 4,299,418page 49 of 62

Labels cover 15 of 3,080 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 3,080 of 3,080 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.

affno abstractunlabeled
Reply
Kim J. Vicente, Karima Kada-Bekhaled, Gillian Hillel, Andrea Cassano, Beverley A. Orser
2003· article· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reply to Drs Bhatt and Hofmann
Éric Albrecht, Kyle R. Kirkham, Patrick Taffé, Richard Brull
2014· letter· en· Regional Anesthesia & Pain Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Gabapentin pharmacokinetics and feasibility in cardiac surgery
Joel L. Parlow, Brian Milne, Ian Gilron, Debbie Shore, Elizabeth Orr
2008· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Analgesia for emergency laparotomy: a systematic review
Neha N Passi, Aayushi Gupta, Eimear Lusby, Sara B. Scott, Herman Sehmbi, Sarah Hare +1 more
2024· review· en· British Journal of Hospital Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0246-0289(19)57413-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Reporting of time to rescue analgesia
Narinder Pal Singh, Jeetinder Kaur Makkar, Preet M. Singh
2018· letter· en· European Journal of Anaesthesiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s1877-7848(18)90873-7
Paul J. Zetlaoui
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
The 7 Pillars of Pain Management for Minimally Invasive Cardiac Surgery
Alexander J. Gregory, Christopher Noss, William Kent, Corey Adams, Rakesh C. Arora, Rawn Sallenger
2025· editorial· en· Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to Dr. Orebaugh
Edel Duggan, Richard Brull, Vincent Chan
2010· letter· en· Regional Anesthesia & Pain Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About