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 11 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.

affvenueaboutunlabeled
Explaining Alberta’s rising mesothelioma rates
Marilyn Cree, M Lalji, Bei Jiang, KC Carriere, Jeremy Beach, Anmmd Kamruzzaman
2009· article· en· Chronic diseases in Canada· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
afffundaboutunlabeled
Lung cancer incidence in Canadian petroleum workers
A. Robert Schnatter, Mark J. Nicolich, R. Jeffrey Lewis, Fintan Thompson, Heather K Dineen, I. Drummond +3 more
2012· article· en· Occupational and Environmental Medicine· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Solid papillary mesothelial tumor
Andrew Churg, Nolwenn Le Stang, Sanja Đačić, Daniel Pissaloux, Hugues Bégueret, Peggy Dartigues +5 more
2021· article· en· Modern Pathology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Electron Microscopy Study of Refractory Ceramic Fibers
Pauline MacKinnon, Thomas J. Lentz, Carol Rice, James E. Lockey, Grace K. LeMasters, Peter S. Gartside
2001· article· en· Applied Occupational and Environmental Hygiene· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Canadian Asbestos: A Global Concern
Laurie Kazan‐Allen
2004· article· en· International Journal of Occupational and Environmental Health· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affvenueno abstractunlabeled
Benign Multicystic Mesothelioma: A Case Report
Allyson J. Adolph, T.E. Smith, J. Adolph
2002· article· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Assessor burden, inter-rater agreement and user experience of the RoB-SPEO tool for assessing risk of bias in studies estimating prevalence of exposure to occupational risk factors: An analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury
Natalie C. Momen, Kai Nino Streicher, Denise T.C. da Silva, Alexis Descatha, Monique H. W. Frings‐Dresen, Diana Gagliardi +15 more
2021· review· en· Environment International· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations
afffundno abstractunlabeled
Cancer cluster among police detachment personnel
C VANNETTEN, R Brands, Stephen A. Hoption Cann, John J. Spinelli, Sheldon G. Sheps
2003· article· en· Environment International· Medicine
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About