{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001384199,0.0002718115,0.0005703485,0.0002323948,0.0002056966,0.0003128937,0.0003327962,0.0002797563,0.0005478594],"category_scores_gemma":[0.0000677257,0.0002673055,0.0001046181,0.00007570772,0.0001749828,0.0003134466,0.0007715665,0.0005457932,0.00004279535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070798,"about_ca_system_score_gemma":0.000314007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006193482,"about_ca_topic_score_gemma":0.0002711534,"domain_scores_codex":[0.9979613,0.0002587995,0.0009905406,0.0003602511,0.000149194,0.000279906],"domain_scores_gemma":[0.9989483,0.00007846123,0.0006154845,0.0001591599,0.0001045756,0.00009396847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001376502,0.0008434529,0.04396093,0.000159658,0.0003896002,0.0002213672,0.4919815,0.0007615667,0.04535302,0.4129384,0.0007166394,0.002536177],"study_design_scores_gemma":[0.003760472,0.000588548,0.01356256,0.00203419,0.001802979,0.000156771,0.3955471,0.0001082334,0.2292672,0.3482175,0.001804604,0.003149856],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936622,0.001369273,0.0001110205,0.0005029247,0.002808081,0.0004469215,0.00001867257,0.00003514444,0.001045753],"genre_scores_gemma":[0.9968293,0.001241205,0.001337585,0.00007073196,0.0003048708,0.00002223314,0.00001688899,0.00006424614,0.0001129024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839142,"threshold_uncertainty_score":0.9999779,"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."}}