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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
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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
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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 6 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.

affaboutunlabeled
Five-Year Follow-up of Cognitive Impairment With No Dementia
Holly Tuokko, Robert J. Frerichs, Janice Graham, Kenneth Rockwood, Betsy Kristjansson, John D. Fisk +3 more
2003· article· en· Archives of Neurology· Medicine
machine prediction:candidate · noneconsensus · none
225
citations
affunlabeled
Technology and Dementia: The Future is Now
Arlene Astell, Nicole Bouranis, Jesse Hoey, Allison Lindauer, Alex Mihailidis, Chris Nugent +1 more
2019· review· en· Dementia and Geriatric Cognitive Disorders· Medicine
machine prediction:candidate · noneconsensus · none
221
citations
affunlabeled
Behavioral symptoms in mild cognitive impairment
Howard Feldman, Philip Scheltens, Elio Scarpini, Nathan Hermann, Peter Mesenbrink, Linda Mancione +3 more
2004· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
219
citations
afffundvenueunlabeled
The Prevalence and Incidence of Dementia with Lewy Bodies: a Systematic Review
David B. Hogan, Kirsten M. Fiest, Jodie I. Roberts, Colleen J. Maxwell, Jonathan Dykeman, Tamara Pringsheim +4 more
2016· review· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
216
citations
affno abstractunlabeled
Imaging correlates of posterior cortical atrophy
Jennifer L. Whitwell, Clifford R. Jack, Kejal Kantarci, Stephen D. Weigand, Bradley F. Boeve, David S. Knopman +4 more
2006· article· en· Neurobiology of Aging· Medicine
machine prediction:candidate · noneconsensus · none
208
citations
affaboutunlabeled
IPA survey of brief cognitive screening instruments
Kenneth I. Shulman, Nathan Herrmann, Henry Brodaty, Helen Chiu, Brian Lawlor, Karen Ritchie +1 more
2006· article· en· International Psychogeriatrics· Medicine
machine prediction:candidate · noneconsensus · none
206
citations
fundno affunlabeled
Early Detection of Mild Cognitive Impairment (MCI) in Primary Care
Marwan N. Sabbagh, Merçé Boada, Soo Borson, M. Chilukuri, Bruno Dubois, John C. L. Ingram +8 more
2020· review· en· The Journal of Prevention of Alzheimer s Disease· Medicine
machine prediction:candidate · noneconsensus · none
206
citations
venueno affunlabeled
Psychiatric Disorders in the Elderly
Ingmar Skoog
2011· review· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
206
citations

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