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
Regulation of Appetite and Obesity
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.

1,849 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.
1,849 works in the cohort · of 4,299,418page 18 of 37

Labels cover 1 of 1,849 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 1,849 of 1,849 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
(Neuro) Peptides, Physical Activity, and Cognition
J. Autio, Ville Stenbäck, Dominique D. Gagnon, Juhani Leppäluoto, Karl‐Heinz Herzig
2020· review· en· Journal of Clinical Medicine· Neuroscience
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Leptin and the brain: then and now
Michael W. Schwartz, Denis G. Baskin
2013· article· en· Journal of Clinical Investigation· Neuroscience
machine prediction:candidate · noneconsensus · none
25
citations
aboutno affunlabeled
Leptin and Cognition
Matthew Warren, Linda S. Hynan, Myron Weiner
2012· article· en· Dementia and Geriatric Cognitive Disorders· Neuroscience
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Neurons that drive and quench thirst
Claire Gizowski, Charles W. Bourque
2017· letter· en· Science· Neuroscience
machine prediction:candidate · noneconsensus · none
24
citations
affvenueno abstractunlabeled
Nutritional Controls of Food Reward
Maria F. Fernandes, Sandeep Sharma, Cécile Hryhorczuk, Stéphanie Auguste, Stephanie Fulton
2013· review· en· Canadian Journal of Diabetes· Neuroscience
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About