{"id":"W3210448246","doi":"10.32920/ryerson.14664711.v1","title":"What's Steering Consumer Preferences for Autonomous Vehicles in the Greater Toronto and Hamilton Area?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; The Internet; Business; Public transport; Willingness to pay; Marketing; Advertising; Transport engineering; Economics; Engineering; Computer science; Political science; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000359152,0.0001193503,0.0001449323,0.0004545219,0.0007327117,0.001167115,0.0002945277,0.0003508792,0.003225704],"category_scores_gemma":[0.001305683,0.0001744766,0.0003324185,0.001163886,0.0007277109,0.0003970464,0.0003288419,0.0002911882,0.0002354788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004823382,"about_ca_system_score_gemma":0.002371173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8060264,"about_ca_topic_score_gemma":0.918919,"domain_scores_codex":[0.999685,0.00006779253,0.00001186997,0.00003796555,0.00009424015,0.000103068],"domain_scores_gemma":[0.998863,0.000183445,0.0003015344,0.0000369958,0.0002747217,0.0003403767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008765627,0.0000364644,0.985783,0.00002868124,0.00004203893,0.0001443271,0.00544333,0.0001008144,0.0003539827,0.0002069051,0.001330361,0.00644242],"study_design_scores_gemma":[0.000003437222,0.00002229383,0.9887664,0.0000144314,0.0000124261,0.0000369285,0.01003025,0.000196041,0.00003355712,0.00003391825,0.0008435464,0.000006746153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980395,0.0001019907,0.00003580911,0.0003258969,0.000003886784,0.000009542281,0.0001873704,0.00000151086,0.001294511],"genre_scores_gemma":[0.9992416,0.0000978465,0.0000321117,0.00004112185,0.000002603198,0.00000378055,0.00008652548,0.000001117215,0.0004932678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1939736,"threshold_uncertainty_score":0.3902318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880876610392162,"score_gpt":0.2557451725738443,"score_spread":0.2169364064699227,"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."}}