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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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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.

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 14 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.

affno abstractunlabeled
EBMT by tree-phrasing
Philippe Langlais, Fabrizio Gotti
2006· article· en· Machine Translation· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
venueno affno abstractunlabeled
Arabic Word Sense Disambiguation Using Wikipedia
Marwah Alian, Arafat Awajan, Akram Al-Kouz Al-Kouz
2016· article· en· International Journal of Computing and Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Corpus-Based Perspectives in Linguistics
2007· book· en· Usage-based linguistic informatics· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
14
citations
affunlabeled
An automatic reviser
Jean-Marc Jutras
2000· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
14
citations
affunlabeled
Resolving this-issue anaphora
Varada Kolhatkar, Graeme Hirst
2012· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
One Homonym per Translation
Bradley Hauer, Grzegorz Kondrak
2020· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Topological field parsing of German
Jackie Chi Kit Cheung, Gerald Penn
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
aboutno affno abstractunlabeled
METIS-II: low resource machine translation
Michaël Carl, Maite Melero, Toni Badía, Vincent Vandeghinste, Peter Dirix, Ineke Schuurman +4 more
2008· article· en· Machine Translation· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Towards Sustainable Large Language Model Serving
Sophia Nguyen, Beihao Zhou, Yi Ding, Sihang Liu
2024· article· en· ACM SIGEnergy Energy Informatics Review· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
13
citations
affunlabeled
Learning Transformation Rules for Semantic Role Labeling
Ken Williams, Christopher Dozier, J. Andrew McCulloh
2004· article· en· Conference on Computational Natural Language Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Summarization Techniques at DUC 2004
Yllias Chali, Maheedhar Kolla
2004· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations

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