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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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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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
Evidence
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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 10 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
Pseudo Independent Models
Yang Xiang
2005· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Nonnumeric belief structures
S. K. M. Wong, Lyuyang Wang, Yiyu Yao
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Compression of General Bayesian Net CPTs
Yang Xiang, Qian Jiang
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Encoding Dependence in Bayesian Causal Networks
John Sulik, Nathaniel K. Newlands, Dan S. Long
2017· article· en· Frontiers in Environmental Science· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Belief trees and networks for biometric applications
Svetlana Yanushkevich, Marina L. Gavrilova, Vlad P. Shmerko, Sergey Edward Lyshevski, Adrian Stoica, Ronald R. Yager
2009· article· en· Soft Computing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
GRN model of probabilistic databases
Ruiwen Chen, Yongyi Mao, Iluju Kiringa
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Environment and Belief Systems
Joy Das
2022· article· en· Environmental Philosophy· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Rating Learning Object Quality with Bayesian Belief Networks
Kate Han, Vive Kumar, John C. Nesbit
2003· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundvenueunlabeled
Time-Series Causality with Missing Data
Bo Chang, Mohamed A. Naiel, Steven Wardell, Stan Kleinikkink, John Zelek
2021· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Agent interface enhancement
Yang Xiang, Kun Zhang
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About