{"id":"W4380324490","doi":"10.1007/s43681-023-00310-8","title":"Understanding how moral decisions are affected by accidents of autonomous vehicles, prior knowledge, and perspective-taking: a continental analysis of a global survey","year":2023,"lang":"en","type":"article","venue":"AI and Ethics","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Affect (linguistics); Perspective-taking; Psychology; Social psychology; Computer science","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":[0.0005951427,0.0001088506,0.0002899684,0.0001370125,0.0001777218,0.00003098294,0.0001186789,0.0001442315,0.000006474636],"category_scores_gemma":[0.00166376,0.00009818519,0.00006879499,0.001120634,0.0003473998,0.00008369922,0.0001215938,0.0002336888,0.000001619584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007867727,"about_ca_system_score_gemma":0.00004775492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002298909,"about_ca_topic_score_gemma":0.0009546641,"domain_scores_codex":[0.9988148,0.0002727055,0.0001631003,0.0003276284,0.0002455204,0.000176286],"domain_scores_gemma":[0.9986715,0.0008558828,0.0001759599,0.0001106706,0.0001036738,0.00008228061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001964569,0.0004115965,0.9610966,0.00003852139,0.0003178503,0.00002042371,0.002528953,0.00003915722,0.01794085,0.01194865,0.004775808,0.0006851461],"study_design_scores_gemma":[0.0005596416,0.00009233934,0.993229,0.00004995822,0.0001171273,0.000005374798,0.0007615715,0.001758186,0.0006147489,0.002698859,0.00001724526,0.00009594102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947569,0.0001909098,0.0004191162,0.00391661,0.0001061207,0.00009580708,0.000320988,0.00002980902,0.0001637302],"genre_scores_gemma":[0.9994128,0.0002218465,0.00001474052,0.0002370585,0.000007020515,0.000002004374,0.00001685176,0.000005074982,0.00008256108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03213242,"threshold_uncertainty_score":0.4003876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3678921194409973,"score_gpt":0.3987007411240753,"score_spread":0.03080862168307802,"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."}}