{"id":"W2748756587","doi":"10.1093/scan/nsx097","title":"Human substantia nigra and ventral tegmental area involvement in computing social error signals during the ultimatum game","year":2017,"lang":"en","type":"article","venue":"Social Cognitive and Affective Neuroscience","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; National Institute on Drug Abuse; Wellcome Trust; Arizona State University","keywords":"Ventral tegmental area; Substantia nigra; Psychology; Ultimatum game; Neuroscience; Social psychology; Cognitive psychology; Dopamine; Dopaminergic","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676527,0.0001836469,0.0002000018,0.0002971806,0.0002952779,0.0006647779,0.0002347188,0.0004084282,0.0009039204],"category_scores_gemma":[0.001652294,0.0002181651,0.0001354883,0.0001278133,0.0005280114,0.0002695884,0.0003243301,0.0003023317,0.0001104492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000364268,"about_ca_system_score_gemma":0.0003106635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137576,"about_ca_topic_score_gemma":0.01934454,"domain_scores_codex":[0.9998591,0.00004482918,0.000005132116,0.00003799429,0.00003545894,0.00001749641],"domain_scores_gemma":[0.9997352,0.00008113182,0.00006959973,0.00003513264,0.00004575977,0.00003323666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001612333,0.0002443929,0.1562367,0.0001572465,0.000369827,0.0009984429,0.002908241,0.003782554,0.7081649,0.002103666,0.001127792,0.1222939],"study_design_scores_gemma":[0.00003960673,0.0002497457,0.9566207,0.00001624614,0.00007910193,0.0009084034,0.0008470453,0.01402141,0.02353658,0.002696435,0.0009586375,0.0000260483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958643,0.0001782787,0.002506409,0.0001509979,0.000008096777,0.0000111907,0.00007119006,0.0000318877,0.001177637],"genre_scores_gemma":[0.9977086,0.00005032553,0.001528528,0.00003667887,0.00000253265,0.000008971954,0.00004419289,0.000008946781,0.000611304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137576,"threshold_uncertainty_score":0.02261907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697989822103521,"score_gpt":0.4065240972943205,"score_spread":0.2367251150839684,"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."}}