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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 31 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.

venueno affunlabeled
Strong Baselines for Cross-Lingual Entity Linking.
Anne Lynn S. Chang, Valentin I. Spitkovsky
2011· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Learning Recurrent Binary/Ternary Weights
Arash Ardakani, Zhengyun Ji, Sean C. Smithson, Brett H. Meyer, Warren J. Gross
2018· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
WaterlooClarke: TREC 2015 Total Recall Track
Haotian Zhang, Lin Wu, Yipeng Wang, Charles L. A. Clarke, Mark D. Smucker
2015· article· en· Text REtrieval Conference· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Assessing the Verifiability of Attributions in News Text
Edward Newell, Ariane Schang, Drew Margolin, Derek Ruths
2017· article· en· International Joint Conference on Natural Language Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
NLP and education
Túlio Sousa de Gois, Filomena Freitas, Julián Tejada, Raquel Meister Ko. Freitag
2024· article· en· The Mental Lexicon· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Balanced Coverage of Aspects for Text Summarization.
Takuya Makino, Hiroya Takamura, Manabu Okumura
2011· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
AdapterHub: A Framework for Adapting Transformers
Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulić, Sebastian Ruder +2 more
2020· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
A behavioural mode research on user-focus summarization
Chong Teng, Naixue Xiong, Yanxiang He, Laurence T. Yang, Dexi Liu
2009· article· en· Mathematical and Computer Modelling· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
On the Dynamics of Training Attention Models
Haoye Lu, Yongyi Mao, Amiya Nayak
2020· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
JVN-TDT Entity Linking Systems at TAC-KBP2012
Hien Nguyen, Huy H. Minh, Tru H. Cao, Trong T. Nguyen, Viet Nam
2012· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
Improving DISCERN with Deep Learning.
Greg Dubbin, Archna Bhatia, Bonnie J. Dorr, Adam Dalton, Kristy Hollingshead, Suriya Kandaswamy +2 more
2016· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Modeling Language Acquisition at Multiple Temporal Scales
Steve R. Howell, Suzanna Becker
2000· article· en· eScholarship (California Digital Library)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
3
citations

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