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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.

affaffiliation
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venuejournal
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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 13 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
LEARNING, EXPLORATION AND CHAOTIC POLICIES
A. B. Potapov, Mazhar Ali
2000· article· en· International Journal of Modern Physics C· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Bias learning, knowledge sharing
Joumana Ghosn, Yoshua Bengio
2000· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Symbolic versus Subsymbolic
Chris Eliasmith, William Bechtel
2005· other· en· Encyclopedia of Cognitive Science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affunlabeled
Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
2021· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Artificial neural network
Maria Pia Del Rosso, Silvia Liberata Ullo, Alessandro Sebastianelli, Dario Spiller, Erika Puglisi, Filippo Biondi +1 more
2021· book-chapter· en· IET eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affno abstractunlabeled
Fuzzy Logic and Neural Networks
Nishith D. Tripathi, Jeffrey H. Reed, H.F. VanLandingham
2001· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Internal workings of feed-forward neural networks
Qing J Zhang, Stephen Stanley, Daniel W. Smith
2004· article· en· Journal of Environmental Engineering and Science· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Structured learning in time‐dependent Cox models
Guanbo Wang, Yi Lian, Archer Y. Yang, Robert W. Platt, Rui Wang, Sylvie Perreault +2 more
2024· article· en· Statistics in Medicine· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Natural Gradient Revisited
Razvan Pascanu, Yoshua Bengio
2013· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Conceptual duplication
Louis Massey
2007· article· en· Soft Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Neural computing in four spatial dimensions
Arturo Tozzi, Muhammad Zubair Ahmad, James F. Peters
2020· article· en· Cognitive Neurodynamics· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Comparing "pattern discovery" and back-propagation classifiers
Andrew Hamilton-Wright, Daniel W. Stashuk
2006· article· en· Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
7
citations
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