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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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Speech and Audio Processing
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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.

1,408 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.
1,408 works in the cohort · of 4,299,418page 22 of 29

Labels cover 2 of 1,408 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 1,408 of 1,408 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.

fundno affunlabeled
Low Peak Derivative Sum of Sines
Manouane Caza-Szoka, Daniel Massicotte, Messaoud Ahmed Ouameur
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Speech acoustics in a noisy environment
Kimary N. Shahin, William H. McKellin, Janet R. Jamieson, Murray Hodgson, M. Kathleen Pichora‐Fuller
2002· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comprehending speech at artificially enhanced rates
Lucia Da Silva, Adriano Vilela Barbosa, Eric Vatikiotis‐Bateson
2013· article· en· Proceedings of meetings on acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Trends in cell phone voice processing
Chris Forrester
2009· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Jacob Benesty, Israel Cohen, Jingdong Chen
2021· book-chapter· en· Springer topics in signal processing· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
SUMO models
Daniela Lopes, Jin-Dong Dong, Daniel Castro, Pedro Medeiros, Diogo Barradas, Bernardo Portela +4 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
My Ears Are Alight
Per Hiselius
2016· article· en· Canadian acoustics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Speech Emotion Recognition from Audio Data Using LSTM Model
Md. Mahbub-Or-Rashid, Akash Kumar Nondi, Abdullah Al Sadnun, Md. Anwar Hussen Wadud, T M Amir Ul Haque Bhuiyan, Md. Saddam Hossain
2025· article· en· International Journal of Advanced Computer Science and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Evolutionary Techniques for Speech Enhancement
Sid‐Ahmed Selouani
2011· book-chapter· en· Springer briefs in electrical and computer engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About