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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.

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.

affaffiliation
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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 ·
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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 18 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.

affno abstractunlabeled
Introduction
Sid‐Ahmed Selouani
2011· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Internet score libraries
Adrian Horsewood
2020· article· en· Early Music· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Using Inventory Data to Enhance Music Collections
Joel Roberts, Rachel Scott
2019· article· en· Evidence Based Library and Information Practice· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
0
citations
fundno affunlabeled
Similarity of structures in popular music
Benoît Corsini
2023· article· en· Journal of New Music Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
News
2023· article· en· Computer Music Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Classification of Emotion with Audio Analysis
Coşkucan BÜYÜKYILDIZ, İsmail Sarıtaş, Ali Yaşar
2023· article· en· Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Distant Listening and Resonance
Tanya Clement
2020· article· en· English studies in Canada· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Musical mood-based mobile gaming
Alexander Hodge, Karen Collins, Kelvin Lam, Peter J. Taillon
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MetaMIDI Dataset
Jeff Ens, Philippe Pasquier
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MetaMIDI Dataset
Jeff Ens, Philippe Pasquier
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Basics of Digital Audio
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
2021· book-chapter· en· Texts in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
IEEE ISTAS13 Symposium - Audio Recordings
2019· article· en· OSF Preprints (OSF Preprints)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Seeing Sound Dataset V1.0.0
Mark Cartwright, Ayanna Seals, Justin Salamon, Alex C. Williams, Stefanie Mikloska, Duncan MacConnell +3 more
2017· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-12-802717-2.00007-1
2000· book-chapter· en· Time to knit· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Discrimination Between Phonograph Playback Systems
Jason Hockman, David M. Weigl, Catherine Guastavino, Ichiro Fujinaga
2011· article· en· Journal of the Audio Engineering Society· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PCCF and its Use with GIS
2006· dataset· en· Borealis· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Beyond the Beats: Can Downbeat Trackers Predict Hypermetre?
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
RILM at 40: A View from the Bridge
Barbara Dobbs Mackenzie
2007· article· en· Fontes artis musicae· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Chord Analysis Using Ensemble Constraints
David Gerhard, Xinglin Zhang
2010· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About