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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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Suicide and Self-Harm Studies
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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.

3,664 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.
3,664 works in the cohort · of 4,299,418page 23 of 74

Labels cover 9 of 3,664 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 3,664 of 3,664 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.

affgemma · no categorygpt · no categorymodels split
Suicide by hanging: A scoping review
Rachael Sabrinskas, Bridget Hamilton, Catherine Daniel, John L. Oliffe
2021· review· en· International Journal of Mental Health Nursing· Psychology
machine prediction:candidate · noneconsensus · none
25
citations
afffundvenueaboutunlabeled
Trends in Suicide Mortality in Canada by Sex and Age Group, 1981 to 2017: A Population-Based Time Series Analysis: Tendances de la mortalité par suicide au Canada selon le sexe et le groupe d’âge, 1981 – 2017 : Une analyse de séries chronologiques dans la population
Mélanie Varin, Heather Orpana, Elia Palladino, Nathaniel J. Pollock, Melissa M. Baker
2020· article· en· The Canadian Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affvenueunlabeled
Nonsuicidal self-injury
Stephen P. Lewis, Nancy L. Heath
2012· article· en· Canadian Medical Association Journal· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
afffundvenueaboutunlabeled
Time Trends in Suicide-Related Behaviours in Girls and Boys
Anne E. Rhodes, Jennifer Bethell, Corine Carlisle, Rhonda J. Rosychuk, Hong Lu, Amanda S. Newton
2014· article· en· The Canadian Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Detecting Suicidality From Facial Appearance
Sela Kleiman, Nicholas O. Rule
2012· article· en· Social Psychological and Personality Science· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
aboutno affunlabeled
Relative Misery and Youth Suicide
James G. Barber
2001· article· en· Australian & New Zealand Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Menstruation and Suicide
Antoon A. Leenaars, T.D. Dogra, Shalini Girdhar, S Dattagupta, Lindsey Leenaars
2009· article· en· Crisis· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Self-Injury Is My Drug
Tyler R. Pritchard, Chelsey A. Fedchenko, Stephen P. Lewis
2021· article· en· The Journal of Nervous and Mental Disease· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
afffundaboutunlabeled
Repeat self-harm: application of hurdle models
Jennifer Bethell, Anne E. Rhodes, Susan J. Bondy, Wendy Lou, Astrid Guttmann
2010· article· en· The British Journal of Psychiatry· Psychology
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About