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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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Bipolar Disorder and Treatment
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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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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.

2,940 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.
2,940 works in the cohort · of 4,299,418page 37 of 59

Labels cover 11 of 2,940 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 2,940 of 2,940 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.

afffundno abstractunlabeled
Pharmacologic Treatment of Mixed States
Maurizio Pompili, Gustavo Vázquez, Alberto Forte, Debbi Ann Morrissette, Stephen M. Stahl
2019· review· en· Psychiatric Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affvenueunlabeled
The overdiagnosis of bipolar disorder
Ioana Iordache, Nancy Low
2010· article· en· Journal of Psychiatry and Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Is bipolar disorder associated with premature aging?
Elisa Brietzke, Raphael O. Cerqueira, Cláudio N. Soares, Flávio Kapczinski
2019· editorial· en· Trends in Psychiatry and Psychotherapy· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Lithium and bipolar depression
Mirko Manchia, Janusz Rybakowski, Gabriele Sani, Lars Vedel Kessing, Andréa Murru, Martin Alda +1 more
2019· letter· en· Bipolar Disorders· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
venueno affno abstractunlabeled
Age at Onset of Bipolar II Disorder
Franco Benazzi
2004· letter· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Prospective predictors of mood episodes in bipolar disorder
Julia W. Y. Kam, Amanda R. Bolbecker, Brian F. O’Donnell, William P. Hetrick, Colleen A. Brenner
2011· article· en· Journal of Affective Disorders· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Lifestyle in bipolar disorder: A cross-sectional study
Mario Simjanoski, Taiane de Azevedo Cardoso, Benício N. Frey, Luciano Minuzzi, Raquel B. De Boni, Vicent Balanzá‐Martínez +1 more
2023· article· en· Spanish Journal of Psychiatry and Mental Health· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About