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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.

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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.

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Music and Audio Processing
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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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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 8 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.

aboutno affunlabeled
A cluster analysis of harmony in the McGill Billboard dataset
Kris Shaffer, Esther Vasiete, Brandon Jacquez, Aaron Davis, Diego Escalante, Calvin Hicks +3 more
2020· article· en· Empirical Musicology Review· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Computer-Generated Music for Tabletop Role-Playing Games
Lucas N. Ferreira, Levi H. S. Lelis, Jim Whitehead
2020· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
6
citations
affunlabeled
Dimensional Music Emotion Recognition by Machine Learning
Junjie Bai, Lixiao Feng, Jun Peng, Jinliang Shi, Kan Luo, Zuojin Li +2 more
2016· article· en· International Journal of Cognitive Informatics and Natural Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Neon.Js: Neume Editor Online.
Gregory Burlet, Alastair Porter, Andrew Hankinson, Ichiro Fujinaga
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+insufficient_payloadconsensus · insufficient_payload
6
citations
affunlabeled
On Local Keys, Modulations, and Tonicizations
Néstor Nápoles López, Laurent Feisthauer, Florence Levé, Ichiro Fujinaga
2020· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan, Yalda Mohsenzadeh
2021· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Cognitive Coding Of Speech
Reza Lotfidereshgi, Philippe Gournay
2022· article· en· ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
5
citations
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