{"id":"W2138800014","doi":"10.1016/s0167-2681(02)00137-3","title":"Detecting other-regarding behavior with virtual players","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Computer science; Public good; Experimental economics; Cognitive psychology; Psychology; Human–computer interaction; Artificial intelligence; Microeconomics; Economics","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":[0.0007011208,0.00017962,0.0003200308,0.0001778188,0.0006178758,0.0001684181,0.0002295069,0.0001161652,0.0006857614],"category_scores_gemma":[0.0000937845,0.0001600184,0.00008048487,0.0001433749,0.0001652953,0.0008204128,0.00002977228,0.000203968,0.00006231477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291675,"about_ca_system_score_gemma":0.0002791416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000276769,"about_ca_topic_score_gemma":0.0005522006,"domain_scores_codex":[0.9986037,0.0001134308,0.0005879353,0.0002014514,0.0001651697,0.0003283379],"domain_scores_gemma":[0.9989112,0.00004720979,0.0005425168,0.000131016,0.0002098457,0.0001582369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000330024,0.0002622014,0.9352545,0.000002437168,0.00006216872,0.00003457766,0.01309677,0.000310586,0.03822918,0.01019682,0.0001020238,0.002415777],"study_design_scores_gemma":[0.007236693,0.002534158,0.05632769,0.0001674199,0.001855825,0.0007766141,0.1573291,0.00001592756,0.7579764,0.0001771181,0.01320402,0.00239907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966659,0.00003432313,0.0002167272,0.00006519137,0.0009155918,0.0002596695,0.000004138217,0.00003417358,0.00180429],"genre_scores_gemma":[0.998527,0.0000299554,0.0008443242,0.00004274461,0.0002096785,0.00001068896,0.000001744269,0.00005632452,0.0002775578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8789268,"threshold_uncertainty_score":0.7508606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566912333921378,"score_gpt":0.2969827268229916,"score_spread":0.2713136034837779,"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."}}