{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316639,0.0002387127,0.0003631505,0.0001512274,0.0002262711,0.0002060457,0.002613835,0.0001036126,0.00004399646],"category_scores_gemma":[0.001435021,0.0001470221,0.0002101079,0.0008643555,0.00026623,0.0002068744,0.0004025889,0.0002291312,0.000008774091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005280578,"about_ca_system_score_gemma":0.0001853598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001966488,"about_ca_topic_score_gemma":0.000007700171,"domain_scores_codex":[0.9979459,0.00004291476,0.0006999501,0.0005321754,0.0004773421,0.0003017101],"domain_scores_gemma":[0.9969968,0.0007671724,0.0004699405,0.0005014866,0.00122214,0.00004252139],"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":[0.0002076171,0.0001808258,0.000008000013,0.00003984697,0.00002062968,5.552503e-8,0.0005220537,0.0005720957,0.01165363,0.9591561,0.0001506657,0.02748849],"study_design_scores_gemma":[0.00007223881,0.0002457674,0.00002327354,0.0001008603,0.000009292621,3.792319e-7,0.0002050629,0.1127845,0.3476332,0.5388336,0.000009018784,0.0000827583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03925392,0.00001790428,0.944293,0.006320465,0.0007220192,0.001773142,0.000008084769,0.00007230554,0.007539168],"genre_scores_gemma":[0.9940259,0.000005838822,0.005320006,0.0003247047,0.00001934544,0.00009573246,3.791226e-7,0.000008728735,0.0001993583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.954772,"threshold_uncertainty_score":0.5995389,"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."}}