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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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Access Control and Trust
Retraction
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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.

619 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.
619 works in the cohort · of 4,299,418page 1 of 13

Labels cover 1 of 619 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 619 of 619 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
Bayesian network-based trust model
Y. Wang, Julita Vassileva
2004· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
304
citations
affno abstractunlabeled
Inconsistency Tolerance
Leopoldo Bertossi, Torsten Schaub, Anthony Hunter
2005· book· en· Lecture notes in computer science· Social Sciences
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
A Survey on Trust Evaluation Based on Machine Learning
Jingwen Wang, Xuyang Jing, Zheng Yan, Yulong Fu, Witold Pedrycz, Laurence T. Yang
2020· review· en· ACM Computing Surveys· Social Sciences
machine prediction:candidate · noneconsensus · none
128
citations
affunlabeled
An ontology of trust
Jingwei Huang, Mark S. Fox
2006· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
A Survey on Trust Models in Heterogeneous Networks
Jie Wang, Zheng Yan, Haiguang Wang, Tieyan Li, Witold Pedrycz
2022· article· en· IEEE Communications Surveys & Tutorials· Social Sciences
machine prediction:candidate · noneconsensus · none
85
citations
affunlabeled
Online Trust: Definition and Principles
Zainab M. Aljazzaf, Mark Perry, Miriam A. M. Capretz
2010· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
CAT
Mohammad Gias Uddin, Mohammad Zulkernine, Sheikh Iqbal Ahamed
2008· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
65
citations
affunlabeled
Intentional access management
Xiang Cao, Lee Iverson
2006· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
59
citations
affno abstractunlabeled
A Trust Model with Statistical Foundation
Jianqiang Shi, Gregor von Bochmann, Carlisle Adams
2005· book-chapter· en· IFIP International Federation for Information Processing/IFIP· Social Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Trust prediction from user-item ratings
Nikolay Korovaiko, Alex Thomo
2013· article· en· Social Network Analysis and Mining· Social Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Access control to people location information
Urs Hengartner, Peter Steenkiste
2005· article· en· ACM Transactions on Information and System Security· Social Sciences
machine prediction:candidate · noneconsensus · none
39
citations

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