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
Music and Audio Processing
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.

1,031 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.
1,031 works in the cohort · of 4,299,418page 11 of 21

Labels cover 2 of 1,031 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 1,031 of 1,031 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Incremental multiclass open-set audio recognition
Hitham Jleed, Martin Bouchard
2022· article· en· International Journal of Advances in Intelligent Informatics· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Deep Surrender: Musically Controlled Responsive Video
Robyn Taylor, Pierre Boulanger
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
3
citations
affunlabeled
Metadata for phonograph records
Catherine Lai, Ichiro Fujinaga, Cynthia Leive
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Audio Driven Video Filtering Using Machine Learning
Arshdeep Kaur, Shikharesh Majumdar
2024· book-chapter· en· Lecture notes in networks and systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
ASPED: An Audio Dataset for Detecting Pedestrians
Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch
2024· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Directional Filtering of Ambisonic Sound Scenes
Pierre Lecomte, Philippe-Aubert Gauthier, Alain Berry, Alexandre Garcia, Christophe Langrenne
2018· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Reverse-Engineering Scanning Keyboards
Foad Hamidi, Melanie Baljko
2012· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
A Novel Interface for Audio Search
Sarah Ali, Parham Aarabi
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The jazz Harmony Treebank
Daniel Harasim, Christoph Finkensiep, Petter Ericson, Timothy J. O’Donnell, Martin Rohrmeier
2020· article· en· DiVA at Umeå University (Umeå University)· Computer Science
distilled prediction:candidate · stsconsensus · none
2
citations
affunlabeled
Audio-Visual Kinship Verification
Xiaoting Wu, Éric Granger, Xiaoyi Feng
2019· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
fundno affno abstractunlabeled
Encoding music performance data in Humdrum and MEI
Johanna Devaney, Hubert Léveillé Gauvin
2017· article· en· International Journal on Digital Libraries· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
2
citations
affunlabeled
Digital library resources description
Issam A. R. Moghrabi, T.-H. Le, Jason Roy, Johanne Hachey
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Music Information Retrieval: An Example of Bates’ Substrate?
Richard P. Smiraglia
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · scholarly_communication
2
citations

How this was built: Screen · Findings · About