{"id":"W4281260660","doi":"10.1016/j.amar.2022.100230","title":"Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach","year":2022,"lang":"en","type":"article","venue":"Analytic Methods in Accident Research","topic":"Traffic and Road Safety","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pedestrian; Range (aeronautics); Computer science; Trajectory; Collision; Transport engineering; Lidar; Vehicle miles of travel; Engineering; Computer security; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008868886,0.001115469,0.00128425,0.001920211,0.0006764792,0.002208218,0.001877771,0.001439342,0.0009859288],"category_scores_gemma":[0.02396539,0.0004161363,0.001068603,0.0007047511,0.002648377,0.002327439,0.00228382,0.001611324,0.00008026538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254942,"about_ca_system_score_gemma":0.001738804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565242,"about_ca_topic_score_gemma":0.0006997215,"domain_scores_codex":[0.9919916,0.005675737,0.0001719294,0.0003958631,0.001420875,0.0003440211],"domain_scores_gemma":[0.9799284,0.0170172,0.001098052,0.000586384,0.001028866,0.0003411263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001933675,0.0004436458,0.007678477,0.0001160582,0.0003513103,0.000156657,0.0003769155,0.8363171,0.001786624,0.1135956,0.0004415092,0.03854267],"study_design_scores_gemma":[0.0000112217,0.0001559954,0.0009535136,0.00001642904,0.00002333427,0.00001967274,0.0001294857,0.9119758,0.0003600021,0.08620463,0.0001342475,0.00001559839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1125687,0.0002126157,0.8830047,0.0003933206,0.00004063174,0.00008724492,0.00002976866,0.00003767403,0.003625402],"genre_scores_gemma":[0.9484659,0.0001440998,0.05059694,0.00006216495,0.00004934283,0.000112965,0.00003788101,0.00001229422,0.0005185726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008868886,"threshold_uncertainty_score":0.04690373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3137873174633964,"score_gpt":0.5212000854420807,"score_spread":0.2074127679786843,"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."}}