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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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The Journal of the Acoustical Society of America
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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.

4,245 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.
4,245 works in the cohort · of 4,299,418page 74 of 85

Labels cover 3 of 4,245 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 4,245 of 4,245 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
A peripheral model of gap detection
Willy Wong, Hugo V. Lepage
2016· article· en· The Journal of the Acoustical Society of America· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Thresholds of noise in harmonic series maskers
Ilse B. Labuschagne, Valter Ciocca
2018· article· en· The Journal of the Acoustical Society of America· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Driving performance and auditory distractions
Elzbieta B. Slawinski, Jane F. MacNeil, Mona Motamedi, Benjamin Rich Zendel, Kirsten Dugdale, Michelle Johnson
2005· article· en· The Journal of the Acoustical Society of America· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Discourse-level contours in Nehiyawewin
Jeff Muehlbauer, Clare Cook
2005· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dyadic postural coordination and discourse structure.
Martin Öberg, Adriano Vilela Barbosa, Eric Vatikiotis‐Bateson
2011· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Analysis/synthesis of sonar echoes as impact sounds.
Charles F. Gaumond, Derek Brock, Christina Wasylyshyn, Paul C. Hines, Stefan M. Murphy
2011· article· en· The Journal of the Acoustical Society of America· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
International comparisons of hydrophone calibrations
R C Preston, Stephen R. Robinson, A. L. Van Buren
2000· article· en· The Journal of the Acoustical Society of America· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A new family of stringed musical instruments
Sophie Léger, Samuel Gaudet
2006· article· en· The Journal of the Acoustical Society of America· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Simulation of temporal aspects of auditory aging
Ewen MacDonald, M. Kathleen Pichora‐Fuller, Bruce A. Schneider
2005· article· en· The Journal of the Acoustical Society of America· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Characterization and modeling of the Erhu
Chris Waltham, Laura Kim
2018· article· en· The Journal of the Acoustical Society of America· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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