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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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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
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venuejournal
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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.

3,664 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 58 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.

venueno affno abstractunlabeled
10.1016/s0029-7437(06)71580-4
2000· article· en· Time to knit· Psychology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Adding science to the art of suicide prevention
Lauro Estivalete Marchionatti, Ives Cavalcante Passos, Flávio Kapczinski
2021· article· en· Jornal Brasileiro de Psiquiatria· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Language of Suicide
Victoria D. Cobuz
2019· article· en· Student Research Proceedings· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Trends in US Suicide Deaths—Reply
Brian L. Mishara, Stefan Stijelja
2020· letter· en· JAMA Pediatrics· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
COMMENT ON ZEKERI 12007)
2015· article· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Factors Associated with Suicide
Brian M. Bird
2021· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Suicide
Gustavo Turecki
2014· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
WORKSHOP ON SUICIDE CONTAGION AMONG INUIT YOUTH AGED 12-19 ᐃᖕᒥᓃᕈᑕᐅᕙᓪᓕᐊᓕᖃᑦᑕᖅᑐᑦ ᐃᖕᒥᓃᕈᑕᐅᕙᓪᓕᐊᓕᖃᑦᑕᖅᑐᑦ ᐃᖕᒥᓃᕈᑕᐅᕙᓪᓕᐊᓕᖃᑦᑕᖅᑐᑦ ᐃᖕᒥᓃᕈᑕᐅᕙᓪᓕᐊᓕᖃᑦᑕᖅᑐᑦ ᒪᒃᑐᓂᒃ ᒪᒃᑐᓂᒃ ᒪᒃᑐᓂᒃ ᒪᒃᑐᓂᒃ ᐃᓄᖕᓂᒃ ᐃᓄᖕᓂᒃ ᐃᓄᖕᓂᒃ ᐃᓄᖕᓂᒃ ᐅᑭᐅᖃᖅᑐᓂ ᐅᑭᐅᖃᖅᑐᓂ ᐅᑭᐅᖃᖅᑐᓂ ᐅᑭᐅᖃᖅᑐᓂ 12-19-ᓄᑦ ᓄᑦ ᓄᑦ ᓄᑦ Acknowledgements
2025· article· en· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Preventing Suicide in Boys and Men
Jane Pirkis, Kylie King, Simon Rice, Zac E. Seidler, Bernard Leckning, John L. Oliffe +2 more
2021· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Suicidal Risk Across the Life Span
Massimiliano Orri, Gustavo Turecki, Marie‐Claude Geoffroy
2022· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Cutting Room
Sean Wiebe
2022· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PERMISSION TO USE
2016· article· en· Psychology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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How this was built: Screen · Findings · About