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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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Mental Health Treatment and Access
Retraction
Abstract
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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
aboutaboutness

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

2,783 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.
2,783 works in the cohort · of 4,299,418page 52 of 56

Labels cover 12 of 2,783 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 2,783 of 2,783 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.

venueaboutno affunlabeled
Erratum
2016· erratum· en· The Canadian Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Limitations/Biases of DSM-IV in Trinidad and Tobago
Sachelle Le Gall, Steve Rollocks, Linda Mohammed, Christine Descartes
2010· article· en· Caribbean dialogue· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Productive Paranoia
Guido Filler, Ravneet Nagra
2019· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ARTICLE
2016· article· en· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Canadian psychiatry utilization trends
G Radu, Noel Harris, Jody Hessen, Ken Fowler, Sarah Pickett, K. Wenhui Ren +1 more
2016· article· en· European Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Mental Health: Population Perspectives
Keith Denny, Frank J. Elgar
2013· article· en· Canadian Journal of Community Mental Health· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueaboutunlabeled
High Intensity Physician-Based Service Use for Mental Health Concerns in a General-Population Sample of Children and Youth: Utilisation des services de haute intensité dispensés par des médecins pour les problèmes de santé mentale dans un échantillon d’enfants et de jeunes de la population générale
Jordan Edwards, Li Wang, Anne Fuller, Kelly K. Anderson, Claire de Oliveira, Katholiki Georgiades
2025· article· en· The Canadian Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trustees Take Action on Range of Issues
Mark Moran
2016· article· en· Psychiatric News· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About