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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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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.

88 results · 1 filter active ·
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20022025
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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.
88 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 88 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 88 of 88 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
Planning with Preferences
Jorge A. Baier, Sheila A. McIlraith
2008· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Real‐Time Strategy Game Competitions
Michael Buro, David G. Churchill
2012· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
67
citations
afffundunlabeled
The Reinforcement Learning Competitions
Shimon Whiteson, B. K. Tanner, Adam White
2010· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Elicitation of Factored Utilities
Darius Braziunas, Craig Boutilier
2008· article· en· AI Magazine· Decision Sciences
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
The First MicroRTS Artificial Intelligence Competition
Santiago Ontañón, Nicolas A. Barriga, Cleyton R. Silva, Rubens O. Moraes, Levi H. S. Lelis
2018· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
afffundunlabeled
The 2023 International Planning Competition
Ayal Taitler, Ron Alford, Joan Espasa, Gregor Behnke, Daniel Fišer, Michael Gimelfarb +6 more
2024· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Natural Language Access to Enterprise Data
Ulli Waltinger, Dan Tecuci, Mihaela Olteanu, Vlad Mocanu, Sean Sullivan
2014· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
The Annual Computer Poker Competition
Nolan Bard, John Hawkin, Jonathan Rubin, Martin Zinkevich
2013· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Deploying automated ticket router across the enterprise
Samuel Ackerman, Lincoln Alexander, Margaret Bennett, Donglin Chen, Eitan Farchi, Autumn Houseknecht +1 more
2023· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Statistical Anomaly Detection for Train Fleets
Anders Holst, Markus Bohlin, Jan Ekman, Ola Sellin, Björn Lindström, Stefan Larsen
2013· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
The ICON Challenge on Algorithm Selection
Lars Kotthoff, Barry Hurley, Barry O’Sullivan
2017· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Hybrid forecasting of geopolitical events<sup>†</sup>
D. M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett +23 more
2023· article· en· AI Magazine· Decision Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Reports of the 2016 AAAI Workshop Program
Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter +30 more
2016· article· en· AI Magazine· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
Getting Back to "The Very Idea"
Ronald J. Brachman
2005· article· en· AI Magazine· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Reports on the 2015 AAAI Workshop Series
Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi‐Hung Chi +24 more
2015· article· en· AI Magazine· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Reports of the AAAI 2010 Fall Symposia
Roger Azevedo, Gautam Biswas, Dan Bohus, Ted Carmichael, Mark A. Finlayson, Mirsad Hadžikadić +15 more
2011· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
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