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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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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
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.

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 49 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.

aboutno affunlabeled
Discover Congenital Amusia in Thailand
Oliver Wen-Liang Foxon, Karnt Wongsuphasawat, Wongduen Pundee, Vacharintr Sirisapsombat, Werner Kurotschka, Phakkharawat Sittiprapaporn
2023· article· en· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Audiomotor interaction induced by mental imagery
Mujda Nooristani, Karina Moïn-Darbari, Sara Pagé, B. A. Bacon, François Champoux
2020· article· en· Experimental Brain Research· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Percussion theater
Aiyun Huang
2016· book-chapter· en· Cambridge University Press eBooks· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Singing and choirs
Annabel J. Cohen
2020· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Random feedback makes listeners tone-deaf
Dominique T. Vuvan, Benjamin Rich Zendel, Isabelle Peretz
2020· preprint· en· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Age and familiarity effects on musical memory
Sarah A. Sauvé, Praveena Satkunarajah, Stephen C. Cooke, Özgen Demirkaplan, Benjamin Rich Zendel
2024· article· en· PLoS ONE· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Perception: Music
Sandra E. Trehub
2017· book-chapter· en· Elsevier eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Neuroscience of Rhythm
Daniel J. Cameron, Jessica A. Grahn
2015· book· en· Oxford University Press eBooks· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Chronométrage et perception temporelle.
Simon Grondin
2017· review· fr· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About