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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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Spring Simulation Multiconference
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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.

55 results · 1 filter active ·
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20072018
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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.
55 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 55 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 55 of 55 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
The Stochastic Fleet Estimation (SaFE) model
Slawo Wesolkowski, Andrew Billyard
2008· article· en· Spring Simulation Multiconference· Engineering
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Improving the performance of Apache web server
Abdolreza Abhari, Adam Serbinski, Miso Gusic
2007· article· en· Spring Simulation Multiconference· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Architectural model for grid resources discovery
Syed Saadat Bokhari, Alexander Ferworn, Abdolreza Abhari
2008· article· en· Spring Simulation Multiconference· Computer Science
machine 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
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
DEVS for AUTOSAR platform modelling
Joachim Denil, Hans Vangheluwe, Pieter Ramaekers, Paul De Meulenaere, Serge Demeyer
2011· article· en· Spring Simulation Multiconference· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Adaptive web navigation
Shilpi Verma, Sonal Patel, Abdolreza Abhari
2009· article· en· Spring Simulation Multiconference· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Session details: Posters
Abdolreza Abhari
2010· article· en· Spring Simulation Multiconference· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Session details: Agent-Directed Simulation (ADS)
Tuncer Ören, Levent Yılmaz, Gregory R. Madey, Maarten Sierhuis, Yu Zhang
2010· article· en· Spring Simulation Multiconference· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About