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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
Retraction
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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
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 ·
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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 7 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.

affunlabeled
IDENTIFYING RHYTHMS IN MUSICAL TEXTS
Manolis Christodoulakis, Costas S. Iliopoulos, M. Sohel Rahman, William F. Smyth
2008· article· en· International Journal of Foundations of Computer Science· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
The Orchive : Data mining a massive bioacoustic archive
Steven R. Ness, Helena Symonds, Paul Spong, George Tzanetakis
2013· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
7
citations
affno abstractunlabeled
Online Music Search by Tapping
Geoffrey Peters, Diana Cukierman, Caroline Anthony, Michael Schwartz
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
afffundunlabeled
Domain adaptation for staff-region retrieval of music score images
Francisco J. Castellanos, Antonio‐Javier Gallego, Jorge Calvo-Zaragoza, Ichiro Fujinaga
2022· article· en· International Journal on Document Analysis and Recognition (IJDAR)· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Semantic Dimensions of Sound Mass Music
Jason Noble, Etienne Thoret, Max Henry, Stephen McAdams
2020· article· en· Music Perception An Interdisciplinary Journal· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
Music visualization
Anastasia Gumulia, BartBomiej Puzon, Naoko Kosugi
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Song search and retrieval by tapping
Geoffrey Peters, Caroline Anthony, Michael W. Schwartz
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Caravan - A global community dataset for large-sample hydrology
Frederik Kratzert, Grey Nearing, Nans Addor, Tyler Erickson, Martin Gauch, Oren Gilon +6 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · none
6
citations
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