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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.

affaffiliation
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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 4 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.

affno abstractunlabeled
Topology-oriented self-organizing maps: a survey
César A. Astudillo, B. John Oommen
2014· article· en· Pattern Analysis and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Input partitioning to mixture of experts
Bin Tang, Malcolm I. Heywood, Michael Shepherd
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
venueno affunlabeled
Logic Learning in Hopfield Networks
Saratha Sathasivam, W. A. T. Wan Abdullah
2008· article· en· Modern Applied Science· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Nonlocal Estimation of Manifold Structure
Yoshua Bengio, Martin Monperrus, Hugo Larochelle
2006· article· en· Neural Computation· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Machine Learning Fundamentals
Hui Jiang
2021· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affno abstractunlabeled
On the quality of ART1 text clustering
Louis Massey
2003· article· en· Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Quaternion Recurrent Neural Networks
Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori +1 more
2018· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Higher Order Recurrent Neural Networks
Rohollah Soltani, Hui Jiang
2016· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Looking Back on the Actor–Critic Architecture
Andrew G. Barto, Richard S. Sutton, Charles W. Anderson
2020· article· en· IEEE Transactions on Systems Man and Cybernetics Systems· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Temporal-Kernel Recurrent Neural Networks
Ilya Sutskever, Geoffrey E. Hinton
2009· article· en· Neural Networks· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Neural network modelling of adsorption isotherms
Graham E. Morse, Rudy Jones, Jules Thibault, F. Handan Tezel
2010· article· en· Adsorption· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
afffundunlabeled
SCALING LARGE LEARNING PROBLEMS WITH HARD PARALLEL MIXTURES
Ronan Collobert, Yoshua Bengio, Samy Bengio
2003· article· en· International Journal of Pattern Recognition and Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
LEARNING OF FUZZY AUTOMATA
Witold Pedrycz, Adam Gacek
2001· article· en· International Journal of Computational Intelligence and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Continuous Neural Networks
Nicolas Le Roux, Yoshua Bengio
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations

How this was built: Screen · Findings · About