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
The Journal of the Acoustical Society of America
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.

4,245 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.
4,245 works in the cohort · of 4,299,418page 56 of 85

Labels cover 3 of 4,245 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 4,245 of 4,245 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
Lions Bay noise mitigation program
Duane E. Marriner
2008· article· en· The Journal of the Acoustical Society of America· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Susy, Seascan, and other acoustical contraptions
Mark V. Trevorrow
2017· article· en· The Journal of the Acoustical Society of America· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Transient sounds of hydrothermal vents
Brendan Smith, David R. Barclay
2023· article· en· The Journal of the Acoustical Society of America· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Talking heads: Speech synthesis and embodied cognition.
Philip E. Rubin, Gordon Ramsay, Eric Vatikiotis‐Bateson
2009· article· en· The Journal of the Acoustical Society of America· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
An introduction to sound in the sea
Thomas Dakin
2018· article· en· The Journal of the Acoustical Society of America· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Novel software for deep-learning based acoustic data analysis
Fábio Frazão, Steven Bergner, Mike Dowd, Ruth Joy, O. S. Kirsebom, Paul Nguyen Hong Duc +8 more
2021· article· en· The Journal of the Acoustical Society of America· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Musician-led performance perspectives in virtual acoustics
Kathleen Ying-Ying Zhang, Aybar Aydin, Vlad Baran, Richard King, Wieslaw Woszczyk
2024· article· en· The Journal of the Acoustical Society of America· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About