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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.

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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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 147 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
QuOTeS: Query-Oriented Technical Summarization
Juan Ramirez-Orta, Eduardo Xamena, Ana Gabriela Maguitman, Axel J. Soto, Flavia P. Zanoto, Evangelos Milios
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
Artificial Intelligence XL
Max Bramer, Frederic Stahl
2023· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
A Mathematical Approach to RTL Verification
David M. Russinoff
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Theory and Applications of Models of Computation
Ding‐Zhu Du, Donglei Du, Chenchen Wu, Dachuan Xu
2022· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
Learning and Intelligent Optimization
2025· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Diversity-Seeking Jump Games in Networks
Lata Narayanan, Yasaman Sabbagh
2023· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Overview of the Trauma THOMPSON Challenge at MICCAI 2023
Yupeng Zhuo, Andrew W. Kirkpatrick, Kyle Couperus, Oanh Tran, Jonah Beck, DeAnna DeVane +7 more
2024· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Temporal Residual Jacobians for Rig-Free Motion Transfer
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher +1 more
2024· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Quantified Boolean Solving for Achievement Games
Steve Boucher, Roger Villemaire
2021· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Color Space Identification for Image Display
Martin Vézina, Djemel Ziou, Fatma Kerouh
2015· book-chapter· en· Lecture notes in computer science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations

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