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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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Dementia and Cognitive Impairment Research
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
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.

10,320 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.
10,320 works in the cohort · of 4,299,418page 4 of 207

Labels cover 30 of 10,320 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 10,320 of 10,320 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.

affunlabeled
Management of behavioral problems in Alzheimer's disease
Serge Gauthier, Jeffrey L. Cummings, Clive Ballard, Henry Brodaty, George T. Grossberg, Philippe Robert +1 more
2010· review· en· International Psychogeriatrics· Medicine
machine prediction:candidate · noneconsensus · none
356
citations
affvenueaboutunlabeled
Diagnosis and treatment of dementia: 2. Diagnosis
Howard Feldman, Claudia Jacova, A. Robillard, Ángeles García, Tiffany W. Chow, Michael Borrie +4 more
2008· review· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
348
citations
affaboutunlabeled
Vascular Dementia
Réjean Hébert, Joan Lindsay, René Verreault, Kenneth Rockwood, Gerry Hill, Marie‐France Dubois
2000· article· en· Stroke· Medicine
machine prediction:candidate · noneconsensus · none
334
citations
aboutno affunlabeled
Screening for Cognitive Impairment in Older Adults
Carrie D. Patnode, Leslie A Perdue, Rebecca C. Rossom, Megan C. Rushkin, Nadia Redmond, Rachel Thomas +1 more
2020· review· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
302
citations
afffundvenueno abstractunlabeled
Dementia
Silvia Duong, Tejal Patel, Feng Chang
2017· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
301
citations
aboutno affno abstractunlabeled
The Montreal Cognitive Assessment (MoCA)
John M. Hobson
2015· review· en· Occupational Medicine· Medicine
machine prediction:candidate · noneconsensus · none
291
citations
afffundvenueunlabeled
The Prevalence and Incidence of Frontotemporal Dementia: a Systematic Review
David B. Hogan, Nathalie Jetté, Kirsten M. Fiest, Jodie I. Roberts, Dawn Pearson, Eric E. Smith +4 more
2016· review· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
280
citations

How this was built: Screen · Findings · About