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.

This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. 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
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.

4,299,418 results · 0 filters 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.
4,299,418 works in the cohort · of 4,299,418page 2,745 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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
Does Local Financial Development Matter?
Luigi Guiso, Paola Sapienza, Luigi Zingales
2002· report· en· National Bureau of Economic Research· Social Sciences
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Surviving Sepsis Campaign Research Priorities 2023
Daniel De Backer, Clifford S. Deutschman, Judith Hellman, Sheila Nainan Myatra, Marlies Ostermann, Hallie C. Prescott +10 more
2024· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Intracellular Trafficking of RNA in Neurons
Wayne S. Sossin, Luc DesGroseillers
2006· review· en· Traffic· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
136
citations
aboutno affunlabeled
Changes in Montreal Cognitive Assessment Scores Over Time
K. Ranga Krishnan, Heidi Rossetti, Linda S. Hynan, Kirstine Carter, Jed Falkowski, Laura Lacritz +2 more
2016· article· en· Assessment· Medicine
machine prediction:candidate · noneconsensus · none
136
citations
affaboutunlabeled
Cosmic Shear Statistics and Cosmology
Ludovic Van Waerbeke, Y. Mellier, M. Radovich, E. Bertin, M. Dantel-Fort, H. J. McCracken +8 more
2001· article· en· CERN Document Server (European Organization for Nuclear Research)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
136
citations
afffundunlabeled
Electron transfer in peptides
Afzal Shah, Bimalendu Adhikari, Sanela Martić, Azeema Munir, Suniya Shahzad, Khurshid Ahmad +1 more
2015· review· en· Chemical Society Reviews· Engineering
machine prediction:candidate · noneconsensus · none
136
citations
affunlabeled
Molecular biology of normal melanocytes and melanoma cells
Bizhan Bandarchi, Cyrus Aleksandre Jabbari, Ali Vedadi, Roya Navab
2013· review· en· Journal of Clinical Pathology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
136
citations

How this was built: Screen · Findings · About