MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Proceedings of the AAAI Conference on Artificial Intelligence
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
venuejournal
aboutaboutness

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 ·
Results by year
20102025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 4 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
SAT Modulo Monotonic Theories
Sam Bayless, Noah Bayless, Holger H. Hoos, Alan J. Hu
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments
Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh
2016· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
36
citations
afffundunlabeled
Efficient Parameter Importance Analysis via Ablation with Surrogates
André Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos
2017· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Warm Starting CMA-ES for Hyperparameter Optimization
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Online (Budgeted) Social Choice
Joel Oren, Brendan Lucier
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
33
citations
affunlabeled
Exploiting QBF Duality on a Circuit Representation
Alexandra Goultiaeva, Fahiem Bacchus
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Towards Universal Physical Attacks on Single Object Tracking
Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang +1 more
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Active Goal Recognition
Maayan Shvo, Sheila A. McIlraith
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
30
citations
afffundunlabeled
Using Lookaheads with Optimal Best-First Search
Roni Stern, Tamar Kulberis, Ariel Felner, Robert C. Holte
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
Bugs in the Data: How ImageNet Misrepresents Biodiversity
Alexandra Sasha Luccioni, David Rolnick
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
29
citations
afffundunlabeled
Fast Sparse Decision Tree Optimization via Reference Ensembles
Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin +1 more
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Using Bisimulation for Policy Transfer in MDPs
Pablo F. Castro, Doina Precup
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About