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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 18 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
Precision-based Boosting
Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Constrained Fair and Efficient Allocations
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Representation Discovery for MDPs Using Bisimulation Metrics
Sherry Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Submodular Optimization Approach to Accountable Loan Approval
Kyungsik Lee, Hana Yoo, Sumin Shin, Woo-Young Kim, Yeonung Baek, Hyunjin Kang +2 more
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Counterfactual Reasoning in Observational Studies
Negar Hassanpour
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · metaresearchconsensus · none
1
citations
fundno affunlabeled
Accelerating the Global Aggregation of Local Explanations
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
On-Line Adaptative Curriculum Learning for GANs
Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joëlle Pineau +1 more
2019· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Necessarily Optimal One-Sided Matchings
Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Decision Sum-Product-Max Networks
Mazen Melibari, Pascal Poupart, Prashant Doshi
2016· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters, Nicholas Teh
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2020· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Hyperparametric Robust and Dynamic Influence Maximization
Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Temporal Fair Division
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

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