{"id":"W4409364876","doi":"10.1609/aaai.v39i13.33540","title":"On the Power of Randomization for Obviously Strategy-Proof Mechanisms","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Azrieli Foundation; Israel Science Foundation; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Randomization; Power (physics); Proof of concept; Computer science; Mathematics; Medicine; Internal medicine; Clinical trial; Physics; Operating system; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03858593,0.002108368,0.00297412,0.002224633,0.00154265,0.006001647,0.004614738,0.004034748,0.005713579],"category_scores_gemma":[0.1284966,0.001528621,0.003941221,0.002108408,0.007205741,0.01715779,0.003898589,0.006630747,0.001403239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002912904,"about_ca_system_score_gemma":0.00348024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006369365,"about_ca_topic_score_gemma":0.0003050297,"domain_scores_codex":[0.9662639,0.02430247,0.001066172,0.003426498,0.003474777,0.001466151],"domain_scores_gemma":[0.7856702,0.1769029,0.01181802,0.01970345,0.004285784,0.001619686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005345067,0.0002847708,0.001489413,0.0004545415,0.0002279968,0.0001013332,0.0002372079,0.09291502,0.001768705,0.8528847,0.002258841,0.046843],"study_design_scores_gemma":[0.0002956007,0.0003660187,0.0002829059,0.0001373267,0.00009082471,0.0001610339,0.00003606547,0.2035028,0.001708281,0.7895732,0.003782983,0.00006287664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04227539,0.003037823,0.9371534,0.004258279,0.0001982809,0.0002587501,0.0001512243,0.0006856697,0.01198114],"genre_scores_gemma":[0.6860329,0.003562183,0.3018638,0.002274958,0.0008044915,0.0009861011,0.0002485636,0.0003964824,0.00383048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03858593,"threshold_uncertainty_score":0.2040644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466817531909896,"score_gpt":0.2927368003343926,"score_spread":0.2380686250152936,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}