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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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Text and Document Classification Technologies
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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.

374 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
374 works in the cohort · of 4,299,418page 7 of 8

Labels cover 2 of 374 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 374 of 374 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
An Introduction of ML Through PCG
2022· book-chapter· en· Synthesis lectures on games and computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
MLCM: Multi-Label Confusion Matrix
2023· preprint· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Organização flexível de documentos
2013· dissertation· pt· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Friend Recommender System
2014· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Text Data Mining
2009· book-chapter· en· Encyclopedia of Database Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Friend Recommender System
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Alfa Laval AB, Sweden
2009· article· en· Filtration Industry Analyst· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Boosting for Text Classification with Subject Headings
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communicationconsensus · scholarly_communication
0
citations
affno abstractunlabeled
Nearest Neighbors
2023· book-chapter· en· Statisctics and computing/Statistics and computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
An Introduction to ML Through PCG
2025· book-chapter· en· Synthesis lectures on games and computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Editorial
2024· editorial· en· IIUM Engineering Journal· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrityconsensus · none
0
citations
aboutno affunlabeled
Editorial
2023· editorial· en· IIUM Engineering Journal· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About