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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
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.

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 10 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.

fundno affunlabeled
Methodological Tools for Linguistic Description and Typology.
Aimée Lahaussois, Marine Vuillermet
2019· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communicationconsensus · none
23
citations
aboutno affunlabeled
METIS-II: Machine Translation for Low Resource Languages
Vincent Vandeghinste, Ineke Schuurman, Michaël Carl, Στέλλα Μαρκαντωνάτου, Toni Badía
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations
affvenueunlabeled
Improving AMBER, an MT Evaluation Metric
Boxing Chen, Roland Kühn, George Foster
2012· article· en· NPARC· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
The Berkeley UNIX Consultant Project
Robert Wilensky, David N. Chin, Marc Luria, James Martin, James Mayfield, Dekai Wu
2000· article· en· Artificial Intelligence Review· Computer Science
distilled prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Scaling up Analogical Learning
Philippe Langlais, François Yvon
2008· article· en· International Conference on Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
22
citations
fundno affunlabeled
Better integration for better preparation
Lynne Bowker, Elizabeth Marshman
2009· article· en· Terminology International Journal of Theoretical and Applied Issues in Specialized Communication· Computer Science
distilled prediction:candidate · noneconsensus · none
21
citations
fundno affunlabeled
Hierarchical search for parsing
Adam Pauls, Dan Klein
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
Multiple System Combination for Transliteration
Garrett Nicolai, Bradley Hauer, Mohammad Salameh, Adam St Arnaud, Ying Xu, Lei Yao +1 more
2015· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About