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
Fluid Dynamics and Heat Transfer
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.

653 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.
653 works in the cohort · of 4,299,418page 2 of 14

Labels cover 1 of 653 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 653 of 653 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.

afffundno abstractunlabeled
Numerical Modeling of Suspension HVOF Spray
Mohsen Jadidi, Sara Moghtadernejad, Ali Dolatabadi
2015· article· en· Journal of Thermal Spray Technology· Engineering
machine prediction:candidate · noneconsensus · none
57
citations
afffundunlabeled
Complex Drop Impact Morphology
Viktor Grishaev, Carlo Saverio Iorio, Frank Dubois, A. Amirfazli
2015· article· en· Langmuir· Engineering
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Rupture of thin films formed during droplet impact
Rajeev Dhiman, S. Chandra
2009· article· en· Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences· Engineering
machine prediction:candidate · noneconsensus · none
44
citations
afffundunlabeled
Drop Impact on Heated Nanostructures
Lihui Liu, Guobiao Cai, Peichun Amy Tsai
2020· article· en· Langmuir· Engineering
machine prediction:candidate · noneconsensus · none
37
citations

How this was built: Screen · Findings · About