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
Occupational and environmental lung diseases
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.

1,254 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.
1,254 works in the cohort · of 4,299,418page 2 of 26

Labels cover 2 of 1,254 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 1,254 of 1,254 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
Predicting survival in malignant mesothelioma
Arthur W. Musk, Nola Olsen, H. Alfonso, Alison Reid, Robin Mina, Peter Franklin +5 more
2011· article· en· European Respiratory Journal· Medicine
machine prediction:candidate · noneconsensus · none
116
citations
affno abstractunlabeled
Current and Future Management of Malignant Mesothelioma: A Consensus Report from the National Cancer Institute Thoracic Malignancy Steering Committee, International Association for the Study of Lung Cancer, and Mesothelioma Applied Research Foundation
Anne S. Tsao, O. Wolf Lindwasser, Alex A. Adjei, Prasad S. Adusumilli, Matthew Beyers, Gideon M. Blumenthal +35 more
2018· article· en· Journal of Thoracic Oncology· Medicine
machine prediction:candidate · noneconsensus · none
115
citations
affunlabeled
Well-differentiated Papillary Mesothelioma With Invasive Foci
Andrew Churg, Timothy Allen, Alain Borczuk, Philip T. Cagle, Françoise Galateau-Sallé, Harry C. Hwang +5 more
2014· article· en· The American Journal of Surgical Pathology· Medicine
machine prediction:candidate · noneconsensus · none
86
citations
affunlabeled
Diffuse malignant mesothelioma of the peritoneum
Daisuke Nonaka, Shigeki Kusamura, Dario Baratti, Paolo G. Casali, Antonello D. Cabras, Rami Younan +2 more
2005· article· en· Cancer· Medicine
machine prediction:candidate · noneconsensus · none
82
citations
affunlabeled
Validation of expert assessment of occupational exposures
Lin Fritschi, Louise Nadon, Geza Benke, Ramzan Lakhani, Benoit Latreille, Marie‐Élise Parent +1 more
2003· article· en· American Journal of Industrial Medicine· Medicine
machine prediction:candidate · noneconsensus · none
81
citations

How this was built: Screen · Findings · About