{"id":"W4392619012","doi":"10.1016/j.jebo.2026.107566","title":"Competing Mechanisms in Games Played Through Agents: Theory and Experiment","year":2024,"lang":"en","type":"preprint","venue":"Journal of Economic Behavior & Organization","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Collusion; Computer science; Tacit collusion; Mechanism (biology); Set (abstract data type); Principal (computer security); Mechanism design; Path (computing); Schedule; Microeconomics; Mathematical economics; Economics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01717757,0.001221606,0.001656411,0.0007649048,0.0008495711,0.002727385,0.002690724,0.002543439,0.005186184],"category_scores_gemma":[0.06124077,0.0007616309,0.001093714,0.0008302191,0.003193246,0.004861296,0.002000359,0.003714738,0.0004429247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743525,"about_ca_system_score_gemma":0.001500987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232234,"about_ca_topic_score_gemma":0.0007303586,"domain_scores_codex":[0.9868614,0.009622656,0.0004538631,0.001241253,0.00123604,0.0005847247],"domain_scores_gemma":[0.8914627,0.09108315,0.007415675,0.00701424,0.001298431,0.00172576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00671937,0.00930015,0.01726648,0.0009965427,0.0006349138,0.0002912402,0.002045923,0.1681038,0.008661842,0.730873,0.003013374,0.05209319],"study_design_scores_gemma":[0.003075795,0.004274772,0.00299966,0.0001177217,0.0001556002,0.0001668076,0.0003814092,0.5326574,0.003069921,0.4490913,0.00384824,0.0001612628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771138,0.0005252698,0.2029858,0.001610695,0.0001802468,0.001524918,0.000334065,0.0002705485,0.01545465],"genre_scores_gemma":[0.9304008,0.0002431055,0.06579857,0.0003967996,0.00004980878,0.001350211,0.00009930279,0.00003078382,0.001630594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01717757,"threshold_uncertainty_score":0.09084475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716173793602976,"score_gpt":0.349787114347558,"score_spread":0.3126253764115282,"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."}}