{"id":"W3124967584","doi":"10.22004/ag.econ.179537","title":"Detecting Other-Regarding Behavior with Virtual Players","year":2000,"lang":"en","type":"preprint","venue":"eCommons (Cornell University)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Public good; Computer science; Experimental economics; Psychology; Cognitive psychology; Artificial intelligence; Social psychology; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184172,0.0004220578,0.0004875784,0.0006599054,0.0003960325,0.001052223,0.0005080187,0.000996959,0.003095837],"category_scores_gemma":[0.008447284,0.0002888338,0.0002404165,0.0003821729,0.0003025272,0.0008210549,0.0009676652,0.0006488131,0.0005422162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013473,"about_ca_system_score_gemma":0.0002139798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051417,"about_ca_topic_score_gemma":0.001394126,"domain_scores_codex":[0.998964,0.00055541,0.00003368066,0.0002168325,0.0001277269,0.0001023194],"domain_scores_gemma":[0.9908774,0.006476878,0.000966529,0.0006169795,0.0004157673,0.0006464428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0050001,0.002212904,0.8061319,0.0001849285,0.000367555,0.0006298583,0.002169207,0.009597844,0.06366482,0.005794583,0.001848094,0.1023982],"study_design_scores_gemma":[0.0002854846,0.003011449,0.43363,0.00005010557,0.000368277,0.001629809,0.00303996,0.5035295,0.03999704,0.01107578,0.003253445,0.0001291618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888503,0.00002038544,0.008907183,0.00004718086,0.00001189293,0.0000373869,0.0001590566,0.00008622667,0.001880346],"genre_scores_gemma":[0.9939058,0.00001232383,0.005060707,0.00002812813,0.000005845542,0.00003020762,0.0001147562,0.000008117194,0.0008340637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003095837,"threshold_uncertainty_score":0.01035661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05889904546768002,"score_gpt":0.2599703769519394,"score_spread":0.2010713314842593,"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."}}