{"id":"W2800946744","doi":"10.1155/2018/6135183","title":"Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Roundabout; Traffic simulation; Computer science; Intersection (aeronautics); Poison control; Penetration rate; Advanced driver assistance systems; Transport engineering; Simulation; Engineering; Medicine; Artificial intelligence; Emergency medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003108956,0.0001111564,0.0002075895,0.00009553821,0.00008046893,0.00001032305,0.00009682056,0.00002737224,0.00001346438],"category_scores_gemma":[0.00002102953,0.00007126566,0.0001696095,0.0001595388,0.00003570498,0.0002212238,9.358821e-7,0.0001017302,4.631755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191282,"about_ca_system_score_gemma":0.00005469521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152681,"about_ca_topic_score_gemma":0.0001048866,"domain_scores_codex":[0.9989842,0.00002522561,0.0005663621,0.00006324225,0.0002340977,0.0001268768],"domain_scores_gemma":[0.9992142,0.0001539111,0.000247108,0.00009905213,0.000247245,0.00003844065],"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":[0.0003243378,0.0000228397,0.001026564,0.00002273548,0.0001368683,0.000002792732,0.0009484224,0.951387,0.007288093,0.00001602868,0.000001575769,0.03882277],"study_design_scores_gemma":[0.002238682,0.0002542399,0.6576065,0.0001179198,0.0001890991,9.099697e-7,0.000335329,0.3375083,0.000856528,0.00006638204,0.0006929136,0.0001331845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534084,0.0001869286,0.1458714,0.00003412349,0.0002721252,0.0001539661,0.0000130807,0.00003307085,0.00002683903],"genre_scores_gemma":[0.9979197,0.00002984865,0.001916337,0.000008353441,0.0001025502,7.654068e-7,0.000003944235,0.00001618147,0.000002265786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6565799,"threshold_uncertainty_score":0.2906129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647231292204726,"score_gpt":0.2653503693449701,"score_spread":0.2488780564229229,"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."}}