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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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Simulation Techniques and Applications
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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.

889 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.
889 works in the cohort · of 4,299,418page 8 of 18

Labels cover 2 of 889 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 889 of 889 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
A Quantum of Continuous Simulated Time
Rhys Goldstein, Simon Breslav, Azam Khan
2016· article· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
Simulating from polynomial-normal distributions
Georgios Skoulakis
2017· article· en· Communications in Statistics - Simulation and Computation· Decision Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
3
citations
affaboutunlabeled
Guest introduction
Pierre L’Ecuyer
2003· article· en· ACM Transactions on Modeling and Computer Simulation· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Scalable Uncertainty Management
Jörg Siekmann, Thomas Lukasiewicz, Sergio Greco
2008· book· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Compiled code in distributed logic simulation
Jun Wang, Carl Tropper
2006· article· en· Winter Simulation Conference· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
afffundunlabeled
Real-time simulation of DEVS models in CD++
Gabriel Wainer
2016· article· en· International Journal of Simulation and Process Modelling· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
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
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
3
citations
affunlabeled
UAV search strategies using Cell-DEVS
Keith Holman, Jeremy Kuzub, Gabriel Wainer
2010· article· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
The Experiment Model and Validity Frame in M&S
Joachim Denil, Stefan Klikovits, Pieter J. Mosterman, Antonio Vallecillo, Hans Vangheluwe
2017· article· en· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Channel based sequential simulation
Cameron Kiddle, Rob Simmonds, Brian Unger
2005· article· en· Winter Simulation Conference· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
Data-Driven Methods for Dynamic Systems
Jason J. Bramburger
2024· book· en· Society for Industrial and Applied Mathematics eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Why Most Models Fail: The Importance of Blind Validation
Kerstan Wallace, Chad Gourgues, Carl Bernet, Angela Dang Atkinson, Timothy Yotter
2019· article· en· Proceedings of the 7th Unconventional Resources Technology Conference· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A tutorial GENETIK simulation and scheduling
Kieran Concannon, P.-J. Becker
2002· article· en· 1990 Winter Simulation Conference Proceedings· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
The Game of Defense and Security
Michael Barlow
2006· book-chapter· en· IGI Global eBooks· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Experiences with the DEVStone benchmark
Marcelo Gutierrez-Alcaraz, Gabriel Wainer
2008· article· en· Spring Simulation Multiconference· Decision Sciences
distilled prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About