{"id":"W4324285205","doi":"10.1007/978-981-19-7753-4_41","title":"Impact of Autonomous Vehicles Accidents on the Public Attitude Towards This Emerging Technology","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Affect (linguistics); Emerging technologies; Psychology; Political science; Public relations; Economic growth; Business; Computer science; 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":[0.0002966557,0.0001553902,0.0001044185,0.0003878413,0.0005110265,0.0007603118,0.0001778355,0.0003988656,0.01180975],"category_scores_gemma":[0.001520574,0.00007945405,0.0003000254,0.0003019984,0.0003348527,0.0004001893,0.0005915246,0.0004524539,0.0009724374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504402,"about_ca_system_score_gemma":0.0004808636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007459401,"about_ca_topic_score_gemma":0.008591475,"domain_scores_codex":[0.9996918,0.00008712143,0.000005454298,0.00001984213,0.0001086603,0.00008702958],"domain_scores_gemma":[0.9986299,0.000554154,0.0002195388,0.00003432063,0.0003724597,0.0001895666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003615876,0.002571783,0.7104723,0.0002724287,0.0003062689,0.002551831,0.006958204,0.01528757,0.008740216,0.01292259,0.01519291,0.221108],"study_design_scores_gemma":[0.00002412938,0.00138248,0.9700097,0.00006077949,0.0001273711,0.0003678057,0.009859063,0.004701733,0.001552717,0.003482215,0.008402511,0.00002942852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647755,0.0002827693,0.000360101,0.0004577873,0.00005774248,0.00001075149,0.0002306894,0.00001480928,0.03380991],"genre_scores_gemma":[0.9950333,0.0002080124,0.0000567864,0.0000329787,0.00001660007,0.000004818487,0.00009214117,0.000003541698,0.004551798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180975,"threshold_uncertainty_score":0.03950763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432985429355414,"score_gpt":0.3232274681699555,"score_spread":0.2988976138764013,"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."}}