{"id":"W4413498809","doi":"10.1016/j.aap.2025.108211","title":"Safety evaluation for heavy vehicle drivers using extreme value model based on the multi-source sensing data","year":2025,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Basic Research Program of Jiangsu Province; National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Poison control; Engineering; Transport engineering; Value (mathematics); Automotive engineering; Occupational safety and health; Computer science; Simulation; Reliability engineering; Forensic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037088,0.0006499794,0.0004557679,0.000521075,0.0002514084,0.0005442612,0.0005352477,0.0005954335,0.0004668015],"category_scores_gemma":[0.001715878,0.0001785258,0.0007111385,0.0003116374,0.0002863562,0.0006805028,0.000446796,0.0004749129,0.00006892489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869271,"about_ca_system_score_gemma":0.0005584919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004796935,"about_ca_topic_score_gemma":0.002964211,"domain_scores_codex":[0.9996417,0.00009678763,0.00001672288,0.00007371991,0.0001074791,0.00006363295],"domain_scores_gemma":[0.9992493,0.000360452,0.00006992121,0.0000502616,0.000224144,0.00004583971],"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":[0.0003212018,0.0001541302,0.01275472,0.00005395253,0.00008112715,0.0001237629,0.0000472126,0.9613752,0.004564757,0.0009033823,0.0003545738,0.019266],"study_design_scores_gemma":[0.000002823668,0.00004329009,0.001928966,0.00000128446,0.000008177086,0.000008378723,0.00001684301,0.9971341,0.0005350003,0.0002949545,0.00002204943,0.000004129321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373586,0.0001511046,0.160766,0.0002127605,0.00005182939,0.00003730853,0.0001807458,0.0001770448,0.001064687],"genre_scores_gemma":[0.9963127,0.00002988484,0.003316343,0.000008170124,0.000006468569,0.00001003492,0.0001264415,0.00000395444,0.0001860624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004796935,"threshold_uncertainty_score":0.009537995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08852415963737523,"score_gpt":0.3253838929837645,"score_spread":0.2368597333463893,"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."}}