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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 21 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.

afffundunlabeled
The Distortion of Public-Spirited Participatory Budgeting
Mark Bedaywi, Bailey Flanigan, Mohamad Latifian, Nisarg Shah
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao +2 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Unsupervised Translation of Emergent Communication
I. Levy, Orr Paradise, Boaz Carmeli, Ron Meir, Shafi Goldwasser, Yonatan Belinkov
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei‐Yang Lu, Di Tao Niu
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Learning Language Structures Through Grounding
Freda Shi
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Generalizing and Executing Plans
Christian Muise
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
What's Hot at CPAIOR (Extended Abstract)
Claude-Guy Quimper
2017· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Xue Liang, Jie Lei +3 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comparing Position Auctions Computationally
David R. M. Thompson, Kevin Leyton‐Brown
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Differentiable Algorithm for Marginalising Changepoints
Hyoung-Jin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Training Autoencoders in Sparse Domain
Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About