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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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Neuroscience and Music Perception
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,941 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.
2,941 works in the cohort · of 4,299,418page 43 of 59

Labels cover 3 of 2,941 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 2,941 of 2,941 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.

affunlabeled
Musical Thought
William Forde Thompson, Paolo Ammirante
2012· book-chapter· en· Oxford University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Auditory imagery in congenital amusia
Ariadne Loutrari, Kathryn Ansell, C. Philip Beaman, Cunmei Jiang, Fang Liu
2022· article· en· Musicae Scientiae· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Auditory Cortex
Robert J. Zatorre
2002· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Models and Music Theory
Michael Fitzpatrick
2011· article· en· Music Theory Online· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Music and Memory
Daniel J. Levitin, Lindsay Fleming
2024· book-chapter· en· Oxford University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Validation of the Measure of Emotions by Music (MEM)
Éric Hanigan, Arielle Bonneville‐Roussy, Gilles Dupuis, Christophe Fortin
2023· article· en· Psychology of Music· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Music as a game controller
John Heerema, J. R. Parker
2013· article· en· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Understanding tendinopathies
Alex Scott, Vincent Duronio
2003· letter· en· British Journal of Sports Medicine· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Listening, Imagining, Performing
Caroline Palmėr
2015· article· en· Music Perception An Interdisciplinary Journal· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Affordances in music education
Lee Cheng, Joyce Yip, Yang He
2024· article· en· Musicae Scientiae· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Can Ubimus Technologies affect our Musicality?
Leandro Costalonga, Marcelo Soares Pimenta, Marcelo M. Wanderley
2021· article· en· Per Musi· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
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