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
Simulation foundations, methods and applications
Topic
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.

35 results · 1 filter active ·
Results by year
20132024
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.
35 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 35 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 35 of 35 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.

affno abstractunlabeled
Modelling and Simulation
Louis G. Birta, Gilbert Arbez
2019· book· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
631
citations
affno abstractunlabeled
Modelling and Simulation
Louis G. Birta, Gilbert Arbez
2013· book· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Body of Knowledge for Modeling and Simulation
Tuncer Ören, Bernard P. Zeigler, Andreas Tolk
2023· book· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Simulation for Cyber-Physical Systems Engineering
José L. Risco‐Martín, Saurabh Mittal, Tuncer Ören
2020· book· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Simulation-Based Architectural Design
Rhys Goldstein, Azam Khan
2017· book-chapter· en· Simulation foundations, methods and applications· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
History of Simulation
Bernard P. Zeigler, Breno Bernard Nicolau de França, Valdemar Vicente Graciano Neto, Raymond R. Hill, L. Champagne, Tuncer Ören
2023· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
M&S Bok Core Areas and the Big Picture
Tuncer Ören, Umang Kant, Mayank Sing, Paul A. Fishwick, Mamadou Kaba Traoré, Zhang Li +6 more
2023· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Simulation as Experience to Enhance Three Types of Skills
Tuncer Ören, Umut Durak, Ernest H. Page, Andreas Tolk, Saikou Y. Diallo
2023· book-chapter· en· Simulation foundations, methods and applications· Psychology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Simulation Optimization in the DEDS Domain
Louis G. Birta, Gilbert Arbez
2019· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Erratum to: Conceptual Modeling
Conrad Bock, Fatma Dandashi, Sanford Friedenthal, Nathalie Harrison, Steven Jenkins, Leon McGinnis +4 more
2018· erratum· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Ethics
Nico Formánek, Juan M. Durán, Paul K Davis, Andreas Tolk, Tuncer Ören
2023· book-chapter· en· Simulation foundations, methods and applications· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Modelling and Simulation Process
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Conceptual Modelling Framework for DEDS
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Simulation as Experimentation
Tuncer Ören, Paul K Davis, Rhys Goldstein, Azam Khan, Laurent Capocchi, Maâmar El-Amine Hamri +5 more
2023· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Supporting Computer Domains
Jean-François Santucci, Laurent Capocchi, Tuncer Ören, Saurabh Mittal, Bo Hu Li, Zhang Li +3 more
2023· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Over Fifty Years of My Involvement in Simulation
Tuncer Ören
2019· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Infrastructure
Margaret L. Loper, Tuncer Ören, Cláudio Gomes, Valdemar Vicente Graciano Neto, Ernest H. Page
2023· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Synergies of Soft Computing and M&S
Jean-François Santucci, Laurent Capocchi, Tuncer Ören, Claudia Szabo, Valdemar Vicente Graciano Neto
2023· book-chapter· en· Simulation foundations, methods and applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Simulation with CTDS Models
Louis G. Birta, Gilbert Arbez
2019· book-chapter· en· Simulation foundations, methods and applications· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Maturity and Accreditation
Tuncer Ören, Margaret L. Loper
2023· book-chapter· en· Simulation foundations, methods and applications· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
DEDS Simulation Model Development
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modelling of Continuous Time Dynamic Systems
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
DEDS Stochastic Behaviour and Modelling
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modelling of Continuous Time Dynamic Systems
Louis G. Birta, Gilbert Arbez
2019· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimization
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Simulation with CTDS Models
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Experimentation and Output Analysis
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Activity-Object World View for DEDS
Louis G. Birta, Gilbert Arbez
2013· book-chapter· en· Simulation foundations, methods and applications· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reliability and Quality Assurance of M&S
Tuncer Ören, Valdemar Vicente Graciano Neto, Paul K Davis, Bernard P. Zeigler
2023· book-chapter· en· Simulation foundations, methods and applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preliminary
Tuncer Ören, Bernard P. Zeigler, Thorsten Pawletta
2023· book-chapter· en· Simulation foundations, methods and applications· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About