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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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Speech Recognition and Synthesis
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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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venuejournal
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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.

749 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.
749 works in the cohort · of 4,299,418page 5 of 15

Labels cover 1 of 749 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 749 of 749 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Foreign accent classification using deep neural nets
Utkarsh Singh, Akshay Gupta, Dipjyoti Bisharad, Wasim Arif
2020· article· en· Journal of Intelligent & Fuzzy Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Automatic Dialect Detection in Arabic Broadcast Speech
Ahmed Ali, Najim Dehak, Patrick Cardinal, Sameer Khurana, Sree Harsha Yella, James Glass +2 more
2016· preprint· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
10
citations
venueno affunlabeled
Acoustic Characteristics of Pakistani English Vowel Sounds
Abdul Malik Abbasi, Mansoor Ahmed Channa, Masood Akhtar Memon, Stephen John, Kamlesh Kumar
2018· article· en· International Journal of English Linguistics· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
9
citations
affno abstractunlabeled
The voice as a material clue: a new forensic Algerian Corpus
Kawthar Yasmine Zergat, Sid‐Ahmed Selouani, Abderrahmane Amrouche, Yazid Kahil, Thouraya Merazi-Meksen
2023· article· en· Multimedia Tools and Applications· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Acoustic recognition component of an 86000-word speech recognizer
Li Deng, V. Gupta, M. Lennig, Patrick Kenny, P. Mermelstein
2002· article· en· International Conference on Acoustics, Speech, and Signal Processing· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
8
citations
fundno affunlabeled
Robust Training of Vector Quantized Bottleneck Models
Adrian Łańcucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing +3 more
2020· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affvenueunlabeled
A CROSS-LANGUAGE VOWEL NORMALISATION PROCEDURE
Geoffrey Stewart Morrison, Terrance M. Nearey
2006· article· en· Canadian acoustics· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
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How this was built: Screen · Findings · About