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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.

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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 14 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
Temporal Fairness in Multiwinner Voting
Edith Elkind, Svetlana Obraztsova, Nicholas Teh
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Amnesiac Machine Learning
Laura M. Graves, Vineel Nagisetty, Vijay Ganesh
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Residual Neural Processes
Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Learning Losses for Strategic Classification
Tosca Lechner, Ruth Urner
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger Grosse, Sanjit A. Seshia +1 more
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Resource Sharing for Control of Wildland Fires
Alan Tsang, Kate Larson, Rob McAlpine
2013· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A Fair Generative Model Using LeCam Divergence
Soobin Um, Changho Suh
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
How to Evaluate Behavioral Models
Greg d'Eon, Sophie Greenwood, Kevin Leyton‐Brown, James R. Wright
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Psychology
machine prediction:candidate · metaresearchconsensus · none
3
citations
afffundunlabeled
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
Pratheeksha Nair, Jiaqi Liu, Catalina Vajiac, Andreas Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato +3 more
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Can Go AIs Be Adversarially Robust?
Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Robust Gradient-Based Markov Subsampling
Tieliang Gong, Quanhan Xi, Chen Xu
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Revisiting Interpolation for Noisy Label Correction
Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Ruiyi Su, Jian Zhang, Shubo Liu +1 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
From Past to Future: Rethinking Eligibility Traces
Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations

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