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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,769 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.
2,769 works in the cohort · of 4,299,418page 44 of 56

Labels cover 6 of 2,769 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 2,769 of 2,769 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Methods for Text Generation in NLP
Stan Matwin, Aristides Milios, Paweł Prałat, Amílcar Soares, François Théberge
2023· book-chapter· en· SpringerBriefs in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
End-to-end Neural Information Retrieval
Wei Yang
2019· dissertation· en· UWSpace (University of Waterloo)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Narrative Boundaries Annotation Guide
Joshua D. Eisenberg, Mark A. Finlayson
2021· article· en· Journal of Cultural Analytics· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Two-Step Question Retrieval for Open-Domain QA
Yeon Seonwoo, Juhee Son, Jiho Jin, Sang‐Woo Lee, Ji‐Hoon Kim, Jung-Woo Ha +1 more
2022· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
ton, Canada.
2003· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Submitted by:
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
AdaFlood: Adaptive Flood Regularization
Wonho Bae, Yi Ren, Mohamad Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira
2023· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
Are LLMs Robust for Spoken Dialogues?
Seyed Mahed Mousavi, Gabriel Roccabruna, Simone Alghisi, Massimo Rizzoli, Mirco Ravanelli, Giuseppe Riccardi
2024· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Remediation of Heavy Metals with Poplar Trees
2023· dissertation· en· UVic’s Research and Learning Repository (University of Victoria)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About