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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.

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 53 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
Kummer for Genus One over Prime Order Fields
Sabyasachi Karati, Palash Sarkar
2017· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Testing k-Safe Petri Nets
Gregor von Bochmann, Guy-Vincent Jourdan
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Active Learning Strategies for Semi-Supervised DBSCAN
Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Big Data Quality: A Data Quality Profiling Model
Ikbal Taleb, Mohamed Adel Serhani, Rachida Dssouli
2019· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Finding Diverse Friends in Social Networks
Syed Khairuzzaman Tanbeer, Carson K. Leung
2013· book-chapter· en· Lecture notes in computer science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Deep Feedback Inverse Problem Solver
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Centrality-Based Improvements to CDCL Heuristics
Sima Jamali, David G. M. Mitchell
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Group Behavior Metrics for P2P Botnet Detection
J Villanueva Felix, Charles L. Joseph, Ali A. Ghorbani
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
On the Representation of Visual Information
Mario Ferraro, Giuseppe Boccignone, Terry Caelli
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Inferring Positional Homologs with Common Intervals of Sequences
Guillaume Blin, Annie Château, Cédric Chauve, Yannick Gingras
2006· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Preference-Based Planning via MaxSAT
Farah Juma, Eric Hsu, Sheila A. McIlraith
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Progress in Cryptology - LATINCRYPT 2014
Diego F. Aranha, Alfred Menezes
2015· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Models in Software Engineering
Juergen Dingel, Arnor Solberg
2011· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
An Introduction to the FLOE Project
Jutta Treviranus, Jess Mitchell, Colin Clark, Vera Roberts
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Biclique Edge Cover Graphs and Confluent Drawings
Michael Hirsch, Henk Meijer, David Rappaport
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Design Patterns in Intelligent Systems
James F. Peters
2003· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
13
citations
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