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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 26 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
Feature Combination for Sentence Similarity
Ehsan Shareghi, Sabine Bergler
2013· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
venueno affno abstractunlabeled
Cornell Belief and Sentiment System at TAC 2016.
Vlad Niculae, Kai Sun, Xilun Chen, Cheng Yao, Xinya Du, Esin Durmus +2 more
2016· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Gradient-Based Language Model Red Teaming
Nevan Wichers, Carson Denison, Ahmad Beirami
2024· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn, Alice Oh
2021· preprint· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
5
citations
venueno affunlabeled
Lorify: A Knowledge Base from Scratch
Sean Monahan, Dean Carpenter
2012· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Mining contentious documents
Amine Trabelsi, Osmar R. Zai͏̈ane
2015· article· en· Knowledge and Information Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About