MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Neurological Disorders and Treatments
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

652 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
652 works in the cohort · of 4,299,418page 10 of 14

Labels cover 3 of 652 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 652 of 652 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/s1553-3212(05)70024-8
2000· article· en· Time to knit· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Fatigue in vascular cognitive impairment no dementia
Bogdan Ciopleiaș, Ștefania Diaconu, Laura Irincu, Irina Despa, Bianca Opriţoiu, Malina Cusnir +3 more
2023· article· en· Alzheimer s & Dementia· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1283-0828(03)00012-7
2000· article· en· Time to knit· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Rehabilitation patients of cerebral stroke
Л. Б. Новикова, Шарапова К.М.
2024· article· ru· Лечащий врач· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Abstract TP394: Senior Clinical Project Leader
Davis Chau, D. Melissa Garman, Corey Adams, Yichaun Zhang, Araslan Rizwan, Karla J. Ryckborst +4 more
2019· article· en· Stroke· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Влияние электромагнитного излучения терагерцового диапазона на частотах молекулярного спектра оксида азота на коагуляционный гемостаз у пациентов с различными формами стенокардии
С. С. Паршина, В. Ф. Киричук, Т. В. Головачева, Т. Н. Афанасьева, В. Д. Тупикин, А. П. Креницкий +2 more
2006· article· ru· CARDIOVASCULAR THERAPY AND PREVENTION· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1283-0828(03)35936-8
2000· article· en· Time to knit· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1553-3212(07)70069-9
2000· article· en· Time to knit· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Лечение недементных когнитивных нарушений у пациентов с артериальной гипертензией и церебральным атеросклерозом (по данным российского мультицентрового исследования «Фуэте»)
Н Н Яхно, В. В. Захаров, Я. Страчунская, Б. Вeльмейкин, В. Житкова, Л. А. Иванова +3 more
2012· paratext· ru· The Neurological Journal· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Psilometriocnemus triannulatus Saether
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Neuropsychological diagnosis in the acute period of ischemic stroke
A. M. Tynterova, С. А. Перепелица, Yurii E. Skalin, Igor V. Reverchuk, O. A. Tikhonova, Anastasiya V. Grishina
2022· article· en· V M BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About