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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 1 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
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull, Thomas Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5,060
citations
affno abstractunlabeled
Transforming Auto-Encoders
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1,323
citations
affno abstractunlabeled
A Design Principle for Hash Functions
Ivan Damgård
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1,190
citations
affno abstractunlabeled
Rough Sets and Current Trends in Computing
Wojciech Ziarko, Jerzy W. Grzymala‐Busse, Chien-Chung Chan
2008· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
1,099
citations
affno abstractunlabeled
Secret-Key Reconciliation by Public Discussion
Gilles Brassard, Louis Salvail
2007· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
790
citations
affno abstractunlabeled
On the Design of S-Boxes
A. F. Webster, S.E. Tavares
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
713
citations
affno abstractunlabeled
Algorithms and Data Structures
Frank Dehne, Roberto Tamassia
2001· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
626
citations
affno abstractunlabeled
Image Analysis and Recognition
Mohamed S. Kamel
2014· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
607
citations
affno abstractunlabeled
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Aijun An, Guoyin Wang, Jerzy Stefanowski, Sheela Ramanna, Witold Pedrycz, Cory J. Butz
2007· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
573
citations
affno abstractunlabeled
Engineering Self-Adaptive Systems through Feedback Loops
Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger M. Kienle, Marin Litoiu +3 more
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
560
citations
affno abstractunlabeled
The SPMF Open-Source Data Mining Library Version 2
Philippe Fournier‐Viger, Jerry Chun‐Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi‐Hong Deng +1 more
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
551
citations
affno abstractunlabeled
Mining Access Patterns Efficiently from Web Logs
Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Zhu Hua
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
498
citations
affno abstractunlabeled
Scaling Java Points-to Analysis Using Spark
Ondřej Lhoták, Laurie Hendren
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
430
citations
affno abstractunlabeled
Staged Configuration Using Feature Models
Krzysztof Czarnecki, Simon Helsen, Ulrich W. Eisenecker
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
427
citations
affno abstractunlabeled
Mixcoin: Anonymity for Bitcoin with Accountable Mixes
Joseph Bonneau, Arvind Narayanan, Andrew Miller, Jeremy Clark, Joshua A. Kroll, Edward W. Felten
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
416
citations
affno abstractunlabeled
The ASTREÉ Analyzer
Patrick Cousot, Radhia Cousot, Jérôme Ferêt, Laurent Mauborgne, Antoine Miné, David Monniaux +1 more
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
392
citations
affno abstractunlabeled
Higher Order Contractive Auto-Encoder
Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin +1 more
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
380
citations
affno abstractunlabeled
Topics in Cryptology – CT-RSA 2005
Alfred Menezes
2005· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
349
citations
affno abstractunlabeled
White-Box Cryptography and an AES Implementation
Stanley Chow, Philip A. Eisen, Harold J. Johnson, Paul C. van Oorschot
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
339
citations
affno abstractunlabeled
The State-of-the-Art in IC Reverse Engineering
Randy Torrance, Dick James
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
331
citations
afffundno abstractunlabeled
Optimizing Java Bytecode Using the Soot Framework: Is It Feasible?
Raja Vallée-Rai, Étienne Gagnon, Laurie Hendren, Patrick Lam, Patrice Pominville, Vijay Sundaresan
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
313
citations
affno abstractunlabeled
A Unifying View of Genome Rearrangements
Anne Bergeron, Julia Mixtacki, Jens Stoye
2006· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
299
citations
affno abstractunlabeled
All-or-Nothing Disclosure of Secrets
Gilles Brassard, Claude Crépeau, Jean‐Marc Robert
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
296
citations

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