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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.

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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
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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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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.

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

affno abstractunlabeled
(931)
Deborah A. Kerr, Rami Nader, Kenneth D. Craig
2007· article· en· Journal of Pain· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(07)70011-x
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
El cuestionario del dolor de McGill
C. Lázaro Bermejo, Josep Eladi Baños i Díez, Rafael Torrúbia
2007· article· es· Dolor: Investigación, clínica & terapéutica· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial introductions
2020· article· en· Current Opinion in Supportive and Palliative Care· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
(815)
Carolyn Watson, J. Watt-Watson, Mary L. Chipman
2006· article· en· Journal of Pain· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(09)70442-2
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Registered Nurses’ Response to Pain
Justin Oluwasegun Rojaye
2024· article· en· Nursing and Health Sciences Journal (NHSJ)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Guide for Cancer Pain Management in Latin America
Joseph V. Pergolizzi, Robert B. Raffa, Jo Ann LeQuang
2017· article· en· Journal of cancer research updates· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Registered Nurses’ Perception of Pain
Justin Oluwasegun Rojaye
2024· article· en· Nursing and Health Sciences Journal (NHSJ)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Assessment
Andrew Davies
2019· book-chapter· en· Oxford University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial introductions
Paul Farquhar-Smith, Kirsty Bannister, J M Beattie
2021· article· en· Current Opinion in Supportive and Palliative Care· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About