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
Robotic Mechanisms and Dynamics
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.

1,407 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.
1,407 works in the cohort · of 4,299,418page 27 of 29

Labels cover 3 of 1,407 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 1,407 of 1,407 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.

affvenueunlabeled
GENERALIZED RECONFIGURABLE 6 - JOINT ROBOT MODELING
Ana Djurić, Waguih ElMaraghy
2006· article· en· Transactions of the Canadian Society for Mechanical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
3D Objects
Jorge Angeles, Damiano Pasini
2020· book-chapter· en· Springer tracts in mechanical engineering· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Linear Dynamics Finite Element Simulation Using Virtual Parts in Catia v5
Nader G. Zamani, Hamoon Ramezani
2019· article· en· Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities”· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Motion Control: Present Status
P.C. Sen
2005· article· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
SICE ISCS 2019
2019· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Formation Kinematics
Hugh H. T. Liu, Zhu Bo
2018· other· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Algebraic screw pairs
J. E. M. Robinson
2012· dissertation· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About