{"id":"W4402477397","doi":"10.11159/icceia24.153","title":"Assessing the Impacts of Autonomous Vehicles for Freeway Safety","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Vehicle safety; Engineering; Automotive engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006836226,0.0006873361,0.0002362,0.0007219497,0.0002727471,0.0008725105,0.0004438789,0.0005797159,0.001048537],"category_scores_gemma":[0.001883368,0.0002035312,0.0005049297,0.0003932787,0.0002686608,0.001124965,0.0007057556,0.0004114537,0.0001303025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109463,"about_ca_system_score_gemma":0.0009090144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793234,"about_ca_topic_score_gemma":0.01416244,"domain_scores_codex":[0.9993644,0.0001835117,0.00001900747,0.00005549117,0.0002671692,0.0001102568],"domain_scores_gemma":[0.9990502,0.0004738934,0.0001210415,0.00004453152,0.0002270593,0.00008328228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004236275,0.0004321316,0.09167238,0.000190165,0.0001735296,0.0004902881,0.0001301521,0.8547835,0.01167442,0.002097233,0.0007843869,0.03714814],"study_design_scores_gemma":[0.00002724565,0.002400974,0.0862047,0.00003420721,0.000199796,0.00009449077,0.001104987,0.8954121,0.01067017,0.001772086,0.002029399,0.00004992223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920397,0.0002225689,0.004220519,0.0000787225,0.00002249819,0.00004866052,0.0001678305,0.00002964666,0.003169831],"genre_scores_gemma":[0.9987764,0.0001033231,0.0007069795,0.000005611142,0.000003302029,0.00001134517,0.00008421871,0.000002543884,0.0003062692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793234,"threshold_uncertainty_score":0.03565592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232275757653069,"score_gpt":0.3670992417945759,"score_spread":0.3347764842180452,"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."}}