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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 2 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
Mobility Detection Using Everyday GSM Traces
Timothy Sohn, Alex Varshavsky, Anthony LaMarca, Mike Y. Chen, Tanzeem Choudhury, Ian Smith +4 more
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
277
citations
affno abstractunlabeled
Practical Metropolitan-Scale Positioning for GSM Phones
Mike Y. Chen, Timothy Sohn, Dmitri Chmelev, Dirk Haehnel, Jeffrey Hightower, Jeff Hughes +4 more
2006· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
270
citations
affno abstractunlabeled
Learning Options in Reinforcement Learning
Martin Stolle, Doina Precup
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
270
citations
affno abstractunlabeled
Human-Computer Interaction – INTERACT 2011
Pedro Campos, Marco Winckler, Philippe Palanque, Nuno Nunes, Joaquim Jorge, Nicholas Graham
2011· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
268
citations
affno abstractunlabeled
Computational Science and Its Applications - ICCSA 2006
Marina L. Gavrilova, David Taniar, Youngsong Mun, Antonio Laganà, Vipin Kumar, Osvaldo Gervasi +1 more
2006· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
261
citations
affno abstractunlabeled
LIMBO: Scalable Clustering of Categorical Data
Periklis Andritsos, Panayiotis Tsaparas, Renée J. Miller, Kenneth C. Sevcik
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
260
citations
affno abstractunlabeled
Explainable AI: The New 42?
Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf +2 more
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
252
citations
affno abstractunlabeled
Transactions on Rough Sets I
James F. Peters
2004· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
238
citations
afffundno abstractunlabeled
Computer Vision – ECCV 2014
David J. Fleet, Tinne Tuytelaars, Bernt Schiele, Tomáš Pajdla
2014· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
233
citations
fundno affno abstractunlabeled
Computer Vision – ECCV 2016
Max Welling, Nicu Sebe
2016· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
232
citations
affno abstractunlabeled
Advances in Cryptology – CRYPTO 2012
Reihaneh Safavi–Naini, Ran Canetti
2012· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
224
citations
affno abstractunlabeled
How to Run Turing Machines on Encrypted Data
Shafi Goldwasser, Yael Tauman Kalai, Raluca Ada Popa, Vinod Vaikuntanathan, Nickolai Zeldovich
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
213
citations
affno abstractunlabeled
Optimal Paths in Weighted Timed Automata
Rajeev Alur, Salvatore La Torre, George J. Pappas
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
209
citations
affno abstractunlabeled
On the Expressive Power of Deep Architectures
Yoshua Bengio, Olivier Delalleau
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
200
citations
affno abstractunlabeled
Robust Visual Tracking for Multiple Targets
Yizheng Cai, Nando de Freitas, James J. Little
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
188
citations
affno abstractunlabeled
Detecting Malicious URLs Using Lexical Analysis
Mohammad Saiful Islam Mamun, Muhammad Ahmad Rathore, Arash Habibi Lashkari, Natalia Stakhanova, Ali A. Ghorbani
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
187
citations
affno abstractunlabeled
On the Expressive Power of Deep Architectures
Yoshua Bengio, Olivier Delalleau
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
180
citations
affno abstractunlabeled
A Flexible Power Model for FPGAs
Kara K.W. Poon, Andy Yan, Steven J. E. Wilton
2002· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
178
citations
affno abstractunlabeled
Inconsistency Tolerance
Leopoldo Bertossi, Torsten Schaub, Anthony Hunter
2005· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
175
citations
affno abstractunlabeled
Algorithms and Architectures for Parallel Processing
Witold Pedrycz, Zheng Yan, Kim‐Kwang Raymond Choo, Shadi Ibrahim
2016· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
173
citations
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