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
Structural Engineering and Vibration Analysis
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.

1,067 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.
1,067 works in the cohort · of 4,299,418page 6 of 22

Labels cover 0 of 1,067 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 1,067 of 1,067 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.

aboutno affunlabeled
Design of the Golden Ears Bridge
Don Bergman, Dusan Radojevic, Hisham Ibrahim
2007· article· en· Report· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Structural Design Through Reinforcement Learning
Thomas Rochefort-Beaudoin, Aurélian Vadean, Niels Aage, Sofiane Achiche
2024· preprint· en· ArXiv.org· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Some relevant aspects of footbridge vibrations
Ana Spasojevic, Djordje Djordjevic, Marija Spasojevic, Novak Spasojevic
2002· article· en· Facta universitatis - series Architecture and Civil Engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Optimal design of a hanging truss with shape memory alloy wires
Xuan Zhang, Kazuyuki HANAHARA, Yukio Tada, Zhiyong Pei, Zhe Li, Pengjie Sun
2019· article· en· Transactions of the Canadian Society for Mechanical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Force Limited Vibration Using the Apparent Mass Method
Paul Marchand, Raj K. Singhal, M. O'Grady
2016· book-chapter· en· Conference proceedings of the Society for Experimental Mechanics· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
TD3 Bridge3
F. Nietoa, Santiago Hernández, José Ángel Jurado, Emanuela Palombia, Gregory A. Kopp, Roi Gurka +10 more
2006· article· en· Wind Engineers JAWE· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
The Beauharnois Bridge, Montreal, Canada
Alejandro Acerete, Javier Ayala, Gabriel Menéndez Pidal, Luis Peset
2014· article· en· Structural Engineering International· Engineering
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About