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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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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.

3,084 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.
3,084 works in the cohort · of 4,299,418page 20 of 62

Labels cover 10 of 3,084 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 3,084 of 3,084 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Bug Diagnosis By String Matching
Liang Chen, Naoyuki Tokuda
2003· article· en· CALICO Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
Named Entity Recognition for Audio De-Identification
Guillaume Baril, Patrick Cardinal, Alessandro L. Koerich
2022· article· en· 2022 International Joint Conference on Neural Networks (IJCNN)· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
Neural Diverse Abstractive Sentence Compression Generation
Mir Tafseer Nayeem, Tanvir Ahmed Fuad, Yllias Chali
2019· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affunlabeled
Nukti
Philippe Langlais, Fabrizio Gotti, Guihong Cao
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Efficient Parsing for Word Structure.
Anna Maria Di Sciullo, Sandiway Fong
2001· article· en· NLPRS· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
‘Intersemiotic translating’
Brian Mossop
2019· article· en· Translation and Interpreting Studies· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Extraction of Text Phrases Using Hierarchical Grammar
Jan Bakus, Mohamed S. Kamel, Tom Carey
2002· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
afffundunlabeled
Endangered Languages meet Modern NLP
Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz
2020· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
ARCHIVING AND LANGUAGE DOCUMENTATION
Patience Epps, Susan Smythe Kung, Denny Moore, Jorge Emilio Rosés Labrada, Zachary O’Hagan, Ana Paula Brandão
2022· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Parse views with Boolean grammars
Andrew Stevenson, James R. Cordy
2013· article· en· Science of Computer Programming· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
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How this was built: Screen · Findings · About