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
Canadian acoustics
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.

1,875 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.
1,875 works in the cohort · of 4,299,418page 29 of 38

Labels cover 1 of 1,875 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 1,875 of 1,875 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.

afffundvenueunlabeled
A case of superior auditory spatial attention
Robert Qnelch, Gurjit Singh, Kathy Picborm-Fuller
2008· article· en· Canadian acoustics· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Playful tools, serious questions
Rosemary Mountain
2007· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Efficient bayesian multi-source localization
Stan E. Dosso, Michael J. Wilmut
2012· article· en· Canadian acoustics· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
My Ears Are Alight
Per Hiselius
2016· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
Dental overjet, articulatory compensation and acoustics of speech
Lauretta Cheng, Tiffany Doe, Derek Lew, Melissa Henderson, Murray Schellenberg, Bryan Gick
2016· article· en· Canadian acoustics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Sound package for a magnesium alloy dash panel
Aljosa Rakic, Raymond Panneton, Noureddine Atalla
2011· article· en· Canadian acoustics· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Bistatic scattering at shallow grazing angles
Shawn A. Stewart, Paul C. Hines
2002· article· en· Canadian acoustics· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Testing of ANR earmuffs
Jie Cui, Alberto Behar, Hans Kunov, Willy Wong
2002· article· en· Canadian acoustics· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Intelligent robot watchdog looks for leaks
Ryoji Ohba, Yoshihito Tamanoi, Toshiyuki Kuwahara, Kozo Edanami
2002· article· en· Canadian acoustics· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Audio processing in police investigations
David Luknowsky, Jeff Boyczuk
2004· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
Intelligibility of older talkers on the NU6 test
Huiwen Goy, M. Kathleen Pichora‐Fuller, Pascal van Lieshout
2016· article· en· Canadian acoustics· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About