{"id":"W4379534991","doi":"10.1080/23311916.2023.2220502","title":"Investigating how the public acceptance of autonomous vehicles evolve with the changes in the level of knowledge: A demographic analysis","year":2023,"lang":"en","type":"article","venue":"Cogent Engineering","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optimism; Affect (linguistics); Positive attitude; Psychology; Software deployment; Public opinion; Public transport; Social psychology; Applied psychology; Business; Political science; Engineering; Transport engineering; Politics","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":[0.004374179,0.000113458,0.0002212671,0.0008048473,0.0001597165,0.0001232417,0.0009148287,0.00003581309,0.00001770848],"category_scores_gemma":[0.002118696,0.0000494005,0.00009579593,0.01328957,0.0001493546,0.0001037902,0.000133386,0.0001973261,0.000003045717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296232,"about_ca_system_score_gemma":0.00004634933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007442228,"about_ca_topic_score_gemma":0.0004240761,"domain_scores_codex":[0.9984563,0.0001311455,0.000339513,0.0001937778,0.0006620269,0.0002172548],"domain_scores_gemma":[0.9972549,0.001666184,0.0002752835,0.0004562691,0.0003217162,0.00002563279],"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":[0.00001918956,0.000183306,0.4537208,0.0001785774,0.001010485,0.00001368417,0.08491197,0.1493972,0.04921546,0.0377832,0.005732998,0.217833],"study_design_scores_gemma":[0.0002024782,0.00003198412,0.3684111,0.00005394101,0.00006072523,0.00000369136,0.01343519,0.6129437,0.001806271,0.0001990679,0.002717131,0.0001347048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855088,0.000240632,0.007224804,0.006589185,0.00007491968,0.0001843829,0.00001006676,0.00003205374,0.0001351717],"genre_scores_gemma":[0.9993939,0.000009258118,0.000318383,0.00008263279,0.00003121391,0.0000380466,0.000002808308,0.000008432266,0.0001152794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4635465,"threshold_uncertainty_score":0.6385196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023313146992285,"score_gpt":0.3249873895318937,"score_spread":0.1226560748326652,"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."}}