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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 3 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
UNIX Password Security - Ten Years Later
David C. Feldmeier, Philip R. Karn
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
171
citations
affno abstractunlabeled
Computer Vision – ECCV 2014
David J. Fleet, Tinne Tuytelaars
2014· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
168
citations
affno abstractunlabeled
Computability of Models for Sequence Assembly
Paul Medvedev, Konstantinos Georgiou, Gene Myers, Michael Brudno
2007· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
166
citations
affno abstractunlabeled
Fall Detection from Depth Map Video Sequences
Caroline Rougier, Edouard Auvinet, Jacqueline Rousseau, Max Mignotte, Jean Meunier
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
165
citations
afffundno abstractunlabeled
Machine Learning in a Quantum World
Esma Aı̈meur, Gilles Brassard, Sébastien Gambs
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
164
citations
affno abstractunlabeled
A Continuous Max-Flow Approach to Potts Model
Jing Yuan, Egil Bae, Xue‐Cheng Tai, Yuri Boykov
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
163
citations
affno abstractunlabeled
Transactions on Rough Sets III
James F. Peters
2005· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
161
citations
affno abstractunlabeled
Learning Rate Based Branching Heuristic for SAT Solvers
Liang Jia, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
160
citations
affno abstractunlabeled
Pattern Recognition and Artificial Intelligence
Mounîm A. El‐Yacoubi, Éric Granger, Pong C. Yuen, Umapada Pal, Nicole Vincent
2022· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
159
citations
affno abstractunlabeled
AI Creativity and the Human-AI Co-creation Model
Zhuohao Wu, Danwen Ji, Kaiwen Yu, Xianxu Zeng, Dingming Wu, Mohammad Shidujaman
2021· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
158
citations
affno abstractunlabeled
Designing Large Sets of Haptic Icons with Rhythm
David Ternes, Karon E. MacLean
2008· book-chapter· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
158
citations
affno abstractunlabeled
Overview of Generative Software Development
Krzysztof Czarnecki
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
154
citations
affno abstractunlabeled
MeshFlow: Minimum Latency Online Video Stabilization
Shuaicheng Liu, Ping Tan, Lu Yuan, Jian Sun, Bing Zeng
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
151
citations
affno abstractunlabeled
Biometric Gait Recognition
Jeffrey E. Boyd, James J. Little
2005· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
142
citations
affno abstractunlabeled
WSOL — Web Service Offerings Language
Vladimir Tošić, Kruti Patel, B. Pagurek
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
138
citations
affno abstractunlabeled
A UML-Based Approach to System Testing
Lionel Briand, Yvan Labiche
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
137
citations
affno abstractunlabeled
Top Down FP-Growth for Association Rule Mining
Ke Wang, Tang Liu, Jiawei Han, Junqiang Liu
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
136
citations
affno abstractunlabeled
The Art of Granular Computing
Yiyu Yao
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
136
citations

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