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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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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 20 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
Wind turbine audibility calculations inside dwellings
Stephen E. Keith, David S. Michaud, Katya Feder, Victor Soukhovtsev, Sonia A. Voicescu, Allison R. Denning +3 more
2019· article· en· The Journal of the Acoustical Society of America· Health Professions
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
A-weighting the equal loudness contours
Jeremy Charbonneau, Colin Novak, Robert Gaspar, Helen Ule
2012· article· en· The Journal of the Acoustical Society of America· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
ArtiSynth designing a modular 3D articulatory speech synthesizer
Florian Vogt, Oliver Guenther, Allan Hannam, Kees van den Doel, John E. Lloyd, Leah Vilhan +10 more
2005· article· en· The Journal of the Acoustical Society of America· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Comparison between the marine soundscape of recreational boat mooring areas with that of a pristine area in the Mediterranean: Evidence that such acoustic hot-spots are detrimental to ecologically sensitive habitats
Juan Francisco Sánchez Ruiz, José Miguel González Correa, Just T. Bayle‐Sempere, Jaime Ramis Soriano, Rodney A. Rountree, Francis Juanes
2017· article· en· The Journal of the Acoustical Society of America· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Acoustics of Kalasha laterals
Alexei Kochetov, Jan Heegård Petersen, Paul Arsenault
2020· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Auditory, but perhaps not visual, processing of Lombard speech
Eric Vatikiotis‐Bateson, V.W.W. Chung, Kevin Lutz, Nicole Mirante, Jolien Otten, Johanna Tan
2006· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
The quantal larynx revisited
Scott R. Moisik, Bryan Gick
2013· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About