MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Multi-Agent Systems and Negotiation
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

940 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
940 works in the cohort · of 4,299,418page 15 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.

venueno affunlabeled
Hansen & Pinto: Reason Reclaimed
Fabio Paglieri
2008· article· en· Informal Logic· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
The Coherence of Hamblin’s Fallacies
Ralph H. Johnson
2011· article· en· Informal Logic· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Commentary on Gross
van Eemeren, H Frans
2003· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Introduction to Argument and Explanation
Douglas Walton
2015· book-chapter· en· Law, governance and technology series· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Criticisms of irrelevance
Douglas Walton
2001· book-chapter· en· Informal Logic· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Software engineering for large-scale multi-agent systems - SELMAS'2003
Carlos Lucena, Alberto Sardinha, Alessandro Garcia, Jaelson Castro, Alexander Romanovsky, Paulo Alencar +1 more
2003· article· en· International Conference on Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Social Requirements Models for Services
John Mylopoulos, Daniel Amyot, Luigi Logrippo, Alireza Parvizimosaed, Sepehr Sharifi
2021· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Learning observer agents
Elhadi Shakshuki, A.R. Matin, A.W. Matin
2006· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Intelligent Agents and Granular Worlds
Andrzej Bargieła, Witold Pedrycz
2003· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Generating Maude formal specifications from AUML diagrams
Farid Mokhati, Noura Boudiaf, Linda Badri, Mourad Badri
2006· article· en· Journal of Computational Methods in Sciences and Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Bibliography
2001· book-chapter· en· Informal Logic· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
AAAI 2002 Workshops
M. Brian Blake, Karen Zita Haigh, Henry Hexmoor, Rino Falcone, Leen‐Kiat Soh, Chitta Baral +25 more
2002· article· en· AI Magazine· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Establishing a Lightweight Communicative Multiagent Java Framework
Braxton McCraw, Justin Ruger, Roberto A. Flores, Robert C. Kremer
2014· article· en· International Conference on Intelligent Systems· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
0
citations
affunlabeled
Social Agentics
Matt Ratto, Anastasia Kuzminykh, Shion Guha, Edith Law, John Vines
2025· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Course Project: MASE System
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Model Sharing in Multiagent Systems
Olayide Olorunleke, Gordon McCalla
2004· article· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About