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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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Pain Management and Opioid Use
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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.

1,445 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.
1,445 works in the cohort · of 4,299,418page 21 of 29

Labels cover 4 of 1,445 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 1,445 of 1,445 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.

aboutno affunlabeled
Assessment and Management of Pain in Palliative Care
Sonika Charak, Robin George Thattil, Chandra Mohan Srivastava, Prabhu Prasad Das, Manish Shandilya
2021· book-chapter· en· IntechOpen eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Don't Blame It on the Weather!
Michel Y. Dubois
2013· article· en· Pain Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Use of the Greek McGill Pain Questionnaire in cancer patients
Kyriaki Mystakidou, Emmanuela Katsouda, Efi Parpa, Eleni Tsilika, Lambros Vlahos
2004· article· en· Expert Review of Pharmacoeconomics & Outcomes Research· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
NP010 Pain Prevalence Among In-Hospital Patients
K. Jabusch, Barbara Lewthwaite, Lynda L. Mandzuk, K. Schnell-Hoehn, Barbara Wheeler
2012· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Pain Cues in People With Dementia: Scoping Review
Urška Smrke, Ana Milošič, Izidor Mlakar, Matic Kadiš, Satja Mulej Bratec
2025· article· en· JMIR Mental Health· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Prediction of outcome
Arto Öhinmaa, P Jacobs, I. Forster, R. Feroe, D. Van Driesum
2004· article· en· Journal of Pain· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Pain Assessment
Rodrigo Benavides
2018· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About