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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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Bayesian Modeling and Causal Inference
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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.

961 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.
961 works in the cohort · of 4,299,418page 2 of 20

Labels cover 2 of 961 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 961 of 961 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
Full Bayesian network classifiers
Su Jiang, Harry Zhang
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
84
citations
affunlabeled
Comparing Bayesian Network Classifiers
Jie Cheng, Russell Greiner
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Efficient reasoning
Russell Greiner, Christian J. Darken, N.I. Santoso
2001· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
affno abstractunlabeled
Weightily Averaged One-Dependence Estimators
Liangxiao Jiang, Harry Zhang
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affno abstractunlabeled
Bayesian networks
Jorge López Puga, Martin Krzywinski, Naomi Altman
2015· article· en· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
afffundunlabeled
Inapproximability of Treewidth and Related Problems
Yuhuai Wu, Per Austrin, Toniann Pitassi, David Liu
2014· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
64
citations
affno abstractunlabeled
Probabilistic Logic Networks
Ben Goertzel
2008· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
affunlabeled
Temporal-Difference Networks
Richard S. Sutton, B. K. Tanner
2015· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
venueno affunlabeled
Bayesian Informal Logic and Fallacy
Kevin B. Korb
2004· article· en· Informal Logic· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
afffundunlabeled
Demons of Ecological Rationality
Maria Otworowska, Mark Blokpoel, Marieke Sweers, Todd Wareham, Iris van Rooij
2017· review· en· Cognitive Science· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi, David Poole
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
A Survey on Statistical Relational Learning
Hassan Khosravi, Bahareh Bina
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
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