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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 19 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.

affunlabeled
Unsupervised Text Generation by Learning from Search
Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King
2020· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
10
citations
afffundunlabeled
WatClaimCheck: A new Dataset for Claim Entailment and Inference
Kashif Khan, Ruizhe Wang, Pascal Poupart
2022· article· en· Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
CriminelBART
Nicolas Garneau, Eve Gaumond, Luc Lamontagne, Pierre-Luc Déziel
2021· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Learning Bigrams from Unigrams
Xiaojin Zhu, Andrew B. Goldberg, Michael Rabbat, Robert Nowak
2008· article· en· Meeting of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
9
citations
afffundunlabeled
Multi-Label Prediction for Political Text-as-Data
Aaron Erlich, Stefano G. Dantas, Benjamin E. Bagozzi, Daniel Berliner, Brian Palmer‐Rubin
2021· article· en· Political Analysis· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
De-biasing Relevance Judgements for Fair Ranking
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
2023· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations
affunlabeled
Leveraging Narrative to Generate Movie Script
Yutao Zhu, Ruihua Song, Jian‐Yun Nie, Pan Du, Zhicheng Dou, Jin Zhou
2022· article· en· ACM Transactions on Information Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
HiDEx
Cyrus Shaoul, Chris Westbury
2012· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
9
citations

How this was built: Screen · Findings · About