{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002381295,0.0004182181,0.000527697,0.001478023,0.00006355182,0.00003610118,0.0005040339,0.0007856963,0.003159894],"category_scores_gemma":[0.0008330206,0.0003177392,0.0003209722,0.0005410647,0.00004473516,0.00004556406,0.00007799663,0.001919642,0.0004381914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079529,"about_ca_system_score_gemma":0.00009392566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004589506,"about_ca_topic_score_gemma":0.00002064026,"domain_scores_codex":[0.9981298,0.00003388642,0.0005938628,0.0004307521,0.0003046672,0.0005069897],"domain_scores_gemma":[0.9983351,0.0007552503,0.0002191646,0.0005329137,0.00009020649,0.00006734527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001664404,0.000249131,0.001243974,0.00008916413,0.00226654,0.0002393454,0.001563287,0.03571081,0.001688615,0.571944,0.002768362,0.3820703],"study_design_scores_gemma":[0.009565699,0.00789748,0.1579656,0.004552875,0.0009111278,0.00124031,0.00005817513,0.3614676,0.007795188,0.1294787,0.3069908,0.01207639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1056489,0.007362828,0.1396235,0.04019218,0.01652433,0.006383682,0.0002540727,0.01097478,0.6730357],"genre_scores_gemma":[0.9908988,0.00006168132,0.00008377319,0.0001351707,0.0002018477,0.000058348,0.00001969724,0.0001279833,0.008412656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852499,"threshold_uncertainty_score":0.9999275,"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."}}