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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 1 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.

affunlabeled
Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
2016· book· de· MIT Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
8,960
citations
affunlabeled
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow +1 more
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
5,745
citations
afffundunlabeled
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
4,978
citations
affunlabeled
Understanding Machine Learning
Shai Shalev‐Shwartz, Shai Ben-David
2014· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
2,928
citations
affno abstractunlabeled
Long Short-Term Memory
Alex Graves
2012· book-chapter· en· Studies in computational intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2,210
citations
affno abstractunlabeled
Statistics versus machine learning
Danilo Bzdok, Naomi Altman, Martin Krzywinski
2018· article· en· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
1,490
citations
affunlabeled
Neuronal Dynamics
Wulfram Gerstner, Werner M. Kistler, Richard Naud, Liam Paninski
2014· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
1,482
citations
affunlabeled
Stochastic Neighbor Embedding
Geoffrey E. Hinton, Sam T. Roweis
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1,461
citations
affno abstractunlabeled
Learning multiple layers of representation
Geoffrey E. Hinton
2007· review· en· Trends in Cognitive Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
1,013
citations
affno abstractunlabeled
Inference for the Generalization Error
Claude Nadeau
2003· article· en· Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
959
citations
affno abstractunlabeled
Model selection and overfitting
Jake Lever, Martin Krzywinski, Naomi Altman
2016· article· en· Nature Methods· Computer Science
machine prediction:candidate · metaresearchconsensus · none
700
citations
affno abstractunlabeled
Siamese Neural Networks: An Overview
Davide Chicco
2020· review· en· Methods in molecular biology· Computer Science
machine prediction:candidate · noneconsensus · none
670
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
Mutual Information Neural Estimation.
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville +1 more
2018· article· en· International Conference on Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
598
citations
affunlabeled
Advances in optimizing recurrent networks
Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
486
citations
afffundunlabeled
Learning Deep Generative Models
Ruslan Salakhutdinov
2015· article· en· Annual Review of Statistics and Its Application· Computer Science
machine prediction:candidate · noneconsensus · none
448
citations
affno abstractunlabeled
Long-Memory Processes
Jan Beran, Yuanhua Feng, Sucharita Ghosh, Rafał Kulik
2013· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
430
citations
affno abstractunlabeled
Clustering: A neural network approach
Ke-Lin Du
2009· article· en· Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
325
citations
affno abstractunlabeled
Deep learning
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal
2016· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
254
citations
affno abstractunlabeled
Machine learning: a primer
Danilo Bzdok, Martin Krzywinski, Naomi Altman
2017· article· es· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
241
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
affunlabeled
Glimmer: Multilevel MDS on the GPU
Stephen Ingram, Tamara Munzner, Marc Olano
2008· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
186
citations
affunlabeled
An Introduction to Neural Information Retrieval
Bhaskar Mitra, Nick Craswell
2018· article· en· Foundations and Trends® in Information Retrieval· Computer Science
machine prediction:candidate · noneconsensus · none
185
citations
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