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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.

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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.

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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.

889 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.
889 works in the cohort · of 4,299,418page 2 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. 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
Debugging Parallel DEVS
Simon Van Mierlo, Yentl Van Tendeloo, Hans Vangheluwe
2016· article· en· SIMULATION· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Advances in Stochastic Simulation Methods
N. Balakrishnan, Viatcheslav B. Melas, Sergey Ermakov
2000· book· en· Birkhäuser Boston eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Implementation of MPC as an AQM controller
Bahram Marami, ءMohammad Haeri
2009· article· en· Computer Communications· Decision Sciences
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Unified Modeling Language
Djedjiga Mouheb, Mourad Debbabi, Makan Pourzandi, Lingyu Wang, Mariam Nouh, Raha Ziarati +3 more
2015· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Graphical Spreadsheet Simulation of Queues
Ármann Ingólfsson, Thomas A. Grossman
2002· article· en· INFORMS Transactions on Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Panel on grand challenges for modeling and simulation
Simon J. E. Taylor, Richard Fujimoto, Ernest H. Page, Paul A. Fishwick, Adelinde M. Uhrmacher, Gabriel Wainer
2012· article· en· Winter Simulation Conference· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Event reconstruction in time warp
Lijun Li, Carl Tropper
2004· article· en· Proceedings - Workshop on Parallel and Distributed Simulation· Decision Sciences
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
A Unified Distributed Simulation System
Jeff McAffer
2012· article· en· NCSU Libraries Repository (North Carolina State University Libraries)· Decision Sciences
machine prediction:candidate · noneconsensus · none
17
citations
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