{"id":"W3124452521","doi":"10.1016/j.jebo.2009.11.003","title":"Nonmonetary sanctions and rewards in an experimental coordination game","year":2009,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sanctions; Outcome (game theory); Coordination game; Stochastic game; Microeconomics; Economics; Pareto optimal; Pareto principle; Yield (engineering); Test (biology); Contrast (vision); Set (abstract data type); Political science; Computer science; Law; Operations management","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003226932,0.00009526172,0.0001946958,0.0001858284,0.0001883428,0.00009287283,0.0001144438,0.00007998239,0.0002116826],"category_scores_gemma":[0.00001834818,0.0001003606,0.00002892192,0.0000908398,0.00008700629,0.001225934,0.00001962276,0.0001045939,0.00001131831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008621758,"about_ca_system_score_gemma":0.00008033128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002331709,"about_ca_topic_score_gemma":0.0003225394,"domain_scores_codex":[0.9991317,0.00006423251,0.0004335244,0.0001391487,0.00007698638,0.0001544523],"domain_scores_gemma":[0.9995225,0.0000107372,0.0002110055,0.00007336795,0.00008219898,0.0001001786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003777795,0.0008136833,0.7311146,0.000001374474,0.000009659836,0.00001427815,0.03118671,0.0001745987,0.2289072,0.003976706,0.0001895807,0.003573801],"study_design_scores_gemma":[0.001514503,0.0006897426,0.9232028,0.00002149148,0.00007542304,0.00004957735,0.021462,0.00006019035,0.05167827,0.0004913205,0.0003775894,0.000377141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982709,0.0001584383,0.00001280766,0.0006236361,0.0004069529,0.0001549016,0.000002311914,0.00001542854,0.0003546257],"genre_scores_gemma":[0.9993144,0.00009732968,0.0002644514,0.00006453246,0.0001872362,0.000002599496,0.000008994608,0.00001192461,0.00004858355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920881,"threshold_uncertainty_score":0.4092587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670778486587449,"score_gpt":0.3363534368664437,"score_spread":0.3096456520005692,"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."}}