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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.

affaffiliation
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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 47 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. 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
The nature of noise in linguistic corpora
Randy Goebel, Shane Bergsma, Ying Xu, Christoph Ringlstetter, Mi-Young Kim
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Finnish Telegraphese Corpus
Jussi Niemi
2019· article· en· UEF eRepo (University of Eastern Finland)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2 11 Thurs Pdf For Sharing
2021· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Word Classes in Lexical Functional Grammar
Mary Dalrymple, Ida Toivonen
2023· book-chapter· en· Oxford University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
19. Developing a generalized model for variants in CIViC
Arpad Danos, Kilannin Krysiak, Jason Saliba, Susanna Kiwala, Joshua F. McMichael, Adam Coffman +4 more
2023· article· en· Cancer Genetics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Auto-Annotation
University Research Chair
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
TopCitedWorksPoetry_Genre.tab
Andrew Piper, James Manalad
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Introduction to
2009· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Preface
Barrett R. Bryant, João Saraiva
2003· article· en· Electronic Notes in Theoretical Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Spoken Among the Trees
T R Macdonald
2010· article· en· Journal of Mennonite studies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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