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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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Multi-Agent Systems and Negotiation
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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.

940 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.
940 works in the cohort · of 4,299,418page 9 of 19

Labels cover 0 of 940 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 940 of 940 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
When expert opinion evidence goes wrong
Douglas Walton
2019· article· en· Artificial Intelligence and Law· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
NorJADE
Toufik Marir, Abd El Heq Silem, Farid Mokhati, Abdelouahed Gherbi, Ahmed Omar Bali
2019· article· en· International Journal of Open Source Software and Processes· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Hierarchical Agent Supervision
Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance
2018· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
A Multi Agent/HLA Platform for Enterprises Interoperability
Grégory Zacharewicz, Olivier Labarthe, David Chen, Bruno Vallespir
2011· book-chapter· en· Advances in business information systems and analytics book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affno abstractunlabeled
Patterns for Modelling Agent Systems with Tropos
Haralambos Mouratidis, Michael Weiß
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
Training agents in a complex environment
Stan Matwin, Daniel A. Charlebois, D.G. Goodenough
2002· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
Speech and language interfaces for agent systems
Christel Kemke
2004· article· en· IEEE/WIC/ACM International Conference on Intelligent Agent Technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affunlabeled
Common Knowledge and Argumentation Schemes .
Fabrizio Macagno, Douglas Walton
2005· article· en· PhilPapers (PhilPapers Foundation)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations
affno abstractunlabeled
Formal Conversations for the Contract Net Protocol
Roberto A. Flores, Robert C. Kremer
2002· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4
citations

How this was built: Screen · Findings · About