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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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Proceedings of the AAAI Conference on Artificial Intelligence
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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
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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.

1,046 results · 1 filter active ·
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20102025
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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.
1,046 works in the cohort · of 4,299,418page 16 of 21

Labels cover 0 of 1,046 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 1,046 of 1,046 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
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S. Meel
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Socially Intelligent Affective AI
Aarti Malhotra
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Sample-Efficient Learning of Mixtures
Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian
2018· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Learning to Shape Rewards Using a Game of Two Partners
David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Wenbin Song, Feifei Tong +8 more
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Optimal Pricing for Distance-Based Transit Fares
Richard Hoshino, Jeneva Beairsto
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
BAND: Biomedical Alert News Dataset
Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Trading Space for Time in Grid-Based Path Finding
William Lee, Ramon Lawrence
2013· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Abstraction of Situation Calculus Concurrent Game Structures
Yves Lespérance, Giuseppe De Giacomo, Maryam Rostamigiv, Shakil M. Khan
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
On the Softmax Bottleneck of Recurrent Language Models
Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Undercover Boolean Matrix Factorization with MaxSAT
Florent Avellaneda, Roger Villemaire
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor +1 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
An Exponential Tail Bound for the Deleted Estimate
Karim T. Abou–Moustafa, Csaba Szepesvári
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Agent Incentives: A Causal Perspective
Tom Everitt, Ryan M. Carey, Eric Langlois, Pedro A. Ortega, Shane Legg
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Statistical Anomaly Detection for Train Fleets
Anders Holst, Markus Bohlin, Jan Ekman, Ola Sellin, Björn Lindström, Stefan Larsen
2012· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The SoftCumulative Constraint with Quadratic Penalty
Yanick Ouellet, Claude-Guy Quimper
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jinyoung Kim, Hyojun Go, Byeongjun Park, Changick Kim
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Process Diagnosis System (PDS) — A 30 Year History
E. Thompson, E. Frolich, J. C. Bellows, B. Bassford, E. Skiko, Mark S. Fox
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Learning Not to Regret
David Sychrovský, Michal Šustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations

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