MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Microscopy Today
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.

68 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.
68 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 68 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 68 of 68 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.

fundno affunlabeled
Cleaning a Cold Cathode Gauge Tube
Owen P. Mills
2003· article· en· Microscopy Today· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Authors’ Response
Firas Mubaid, Claire M. Brown
2018· article· en· Microscopy Today· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Impact Factor, My Donkey!
Ray Egerton
2010· article· en· Microscopy Today· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affunlabeled
The Birth of the Microscopy Advantage™ CD
C. A. Garber, Kristof Kovacs
2000· article· en· Microscopy Today· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Diffusion Pumps and Water Chillers
FC Thomas
2001· article· en· Microscopy Today· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A “Clean” TEM
Graham J.C. Carpenter
2010· article· en· Microscopy Today· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Photosynthesis Got an Early Start
Stephen W. Carmichael, Philip Oshel
2024· article· en· Microscopy Today· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NetNotes
2025· article· en· Microscopy Today· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Netnotes
2007· article· en· Microscopy Today· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
← previous

How this was built: Screen · Findings · About