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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
Retraction
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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.

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 47 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
Assessing adjunctive treatments for bipolar depression
Muhammad Ishrat Husain, J.F.W. Deakin, Imran B. Chaudhry, Benoit H. Mulsant, Allan H. Young
2020· letter· en· The Lancet Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Lithium in mood disorders – an update
Janusz Rybakowski
2023· article· en· Pharmacotherapy in Psychiatry and Neurology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Oculomotor Abnormalities and Aberrant Neuro-Developmental Markers: Composite Endophenotype for Bipolar I Disorder: Anomalies Oculomotrices et Marqueurs Neuro-Développementaux Aberrants : Endophénotype Composite du Trouble Bipolaire I
Daniel Ritish, Preethi V. Reddy, Vanteemar S. Sreeraj, Harleen Chhabra, Vijay Kumar, Ganesan Venkatasubramanian +1 more
2024· article· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Bipolar Disorder (BD)
Emma Morton, Heather L. Armstrong, Erin E. Michalak, Greg Murray
2023· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affgemma · no categorygpt · no categorymodels agree
Pharmacotherapy for bipolar disorder in older people
Akshya Vasudev, Alan Thomas, Heinz Grunze
2018· article· en· Cochrane Database of Systematic Reviews· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Intensely Suicidal Behavior with a First Manic Episode
Joseph Stoklosa, A. Blythe Rose, Elizabeth Liebson, Mark J. Goldblatt, Ross J. Baldessarini
2015· article· en· Harvard Review of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Asenapine for bipolar disorder
T Scheidemantel, I Korobkova, Rej S, M Sajatovic
2015· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Pharmacotherapy of mania in Japan
Masahiko Ichiki, Jiro Masuya, Takeshi Inoue
2020· article· en· Clinical Neuropsychopharmacology and Therapeutics· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About