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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 190 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
Foundations and Practice of Security
Mohamed Mosbah, Florence Sèdes, Nadia Tawbi, Toufik Ahmed, Nora Cuppens, Joaquín García-Alfaro
2024· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Approximating Highly Satisfiable Random 2-SAT
Andreĭ A. Bulatov, Cong Wang
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Hierarchical Sampling with Constraints
Azadeh Mohebi, Ying Liu, Paul Fieguth
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Online Video Textures Generation
Wentao Fan, Nizar Bouguila
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Multiagent Decision by Partial Evaluation
Yang Xiang, Frank Hanshar
2012· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
On the Minimum Consistent Subset Problem
Ahmad Biniaz, Sergio Cabello, Paz Carmi, Jean-Lou De Carufel, Anil Maheshwari, Saeed Mehrabi +1 more
2019· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Detecting Feature Interactions in FORML Models
Sandy Beidu, Joanne M. Atlee
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Priority Algorithms for the Subset-Sum Problem
Yuli Ye, Allan Borodin
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Protein Structure Prediction with Visuospatial Analogy
Jim Davies, Janice Glasgow, Tony Kuo
2007· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Semantics of Refinement Chart
Dominique Méry, Neeraj Kumar Singh
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
DeepDSMRI: Deep Domain Shift Analyzer for MRI
Rafsanjany Kushol, Sanjay Kalra, Yee‐Hong Yang
2024· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
α-Visibility
Mohammad Ghodsi, Anil Maheshwari, Mostafa Nouri-Baygi, Jörg-Rüdiger Sack, Hamid Zarrabi-Zadeh
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Nearly Bounded Error Probabilistic Sets
Tomoyuki Yamakami
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Where Did the Web Archive Go?
Mohamed Aturban, Michael L. Nelson, Michele C. Weigle
2021· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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