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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.

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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.

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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 18 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
Modeling Autobiographical Memory for Believable Agents
Andrew B Kope, Caroline Rose, Michael Katchabaw
2013· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
H-ERNIE
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
2022· article· en· Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
fundno affno abstractunlabeled
Learning to rank implicit entities on Twitter
Hawre Hosseini, Ebrahim Bagheri
2021· article· en· Information Processing & Management· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Predicting Attention Sparsity in Transformers
Marcos Treviso, António Góis, Patrick Fernandes, Erick Fonseca, André F. T. Martins
2022· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Uncertainty Quantification for Text Classification
Dell Zhang, Murat Şensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He
2023· article· en· 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
Help! Need Advice on Identifying Advice
Venkata Subrahmanyan Govindarajan, Benjamin P.C. Chen, Rebecca Warholic, Katrin Erk, Junyi Jessy Li
2020· article· ArXiv.org· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
10
citations
affunlabeled
Ethical Challenges in Data-Driven Dialogue Systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe +1 more
2018· preprint· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
10
citations
affunlabeled
Semantic Question Generation Using Artificial Immunity
Ibrahim Eldesoky Fattoh, Amal Elsayed Aboutabl, Mohamed H. Haggag
2015· article· en· International Journal of Modern Education and Computer Science· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
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