{"id":"W4406609101","doi":"10.1016/j.aap.2025.107923","title":"Cyclist safety assessment using autonomous vehicles","year":2025,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Poison control; Occupational safety and health; Engineering; Transport engineering; Vehicle safety; Injury prevention; Human factors and ergonomics; Computer science; Reliability engineering; Aeronautics; Forensic engineering; Automotive engineering; Medical emergency; Medicine","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":[0.0003116493,0.0001580917,0.0002894137,0.0003977008,0.000154165,0.00006631886,0.0001646997,0.00008926417,0.0002784293],"category_scores_gemma":[0.000005017434,0.0001628912,0.0003851377,0.00105419,0.00001594833,0.0001725887,0.00005354815,0.0001350416,0.00001810138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119762,"about_ca_system_score_gemma":0.00004101836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008899796,"about_ca_topic_score_gemma":0.0007581365,"domain_scores_codex":[0.9988738,0.00006499478,0.0004439333,0.0002317887,0.0001697934,0.000215712],"domain_scores_gemma":[0.999518,0.00003047157,0.00006476101,0.0003077637,0.00003405991,0.00004492992],"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":[0.00001168746,0.0001078362,0.3594558,0.00001223202,0.004067723,0.000005827465,0.0001139473,0.571898,0.0007757678,0.003177705,0.0005241594,0.05984937],"study_design_scores_gemma":[0.0002664802,0.000006081312,0.7975286,0.00003506438,0.002086518,6.31175e-7,0.0001131279,0.1979736,0.0001275209,0.0003100492,0.001386271,0.0001660769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6317011,0.0007084853,0.3561067,0.00007152574,0.0003839815,0.0001750934,6.178523e-7,0.0003744291,0.01047802],"genre_scores_gemma":[0.9956929,0.0001222919,0.002316614,0.00001800018,0.00004759915,0.0000118768,0.00007571094,0.0000132707,0.001701712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4380728,"threshold_uncertainty_score":0.664251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008877768294605723,"score_gpt":0.2883538933034986,"score_spread":0.2794761250088929,"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."}}