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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.

2,372 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.
2,372 works in the cohort · of 4,299,418page 2 of 48

Labels cover 1 of 2,372 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 2,372 of 2,372 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.

fundno affunlabeled
Generalization with Deep Learning
Zhenghua Chen, Min Wu, Xiaoli Li
2020· book· en· WORLD SCIENTIFIC eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
182
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
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
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
afffundunlabeled
On Definition of Deep Learning
Wenjun Zhang, Guosheng Yang, Yingzi Lin, Chunli Ji, Madan M. Gupta
2018· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
142
citations
affno abstractunlabeled
Granular neural networks
Witold Pedrycz, George Vukovich
2001· article· en· Neurocomputing· Computer Science
machine prediction:candidate · noneconsensus · none
141
citations
affno abstractunlabeled
Model Selection for Small Sample Regression
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
2002· article· en· Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
125
citations
affno abstractunlabeled
Processing Emotions Induced by Music
Laurel J. Trainor, Louis A. Schmidt
2003· book-chapter· en· Oxford University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
117
citations
afffundunlabeled
25th Annual Computational Neuroscience Meeting: CNS-2016
Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik +593 more
2016· article· en· BMC Neuroscience· Computer Science
machine prediction:candidate · noneconsensus · none
101
citations
affno abstractunlabeled
Robust chaos in neural networks
Alexey Potapov, Mazhar Ali
2000· article· en· Physics Letters A· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations
afffundunlabeled
Introduction to functional data analysis.
Daniel J. Levitin, Regina Nuzzo, Bradley W. Vines, J. O. Ramsay
2007· article· en· Canadian Psychology/Psychologie canadienne· Computer Science
machine prediction:candidate · noneconsensus · none
92
citations
affunlabeled
Low precision arithmetic for deep learning
Matthieu Courbariaux, Yoshua Bengio, Jean‐Pierre David
2014· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
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