{"id":"W1537060316","doi":"10.1108/9780080518015","title":"Structural Road Accident Models","year":2000,"lang":"en","type":"book","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accident (philosophy); Road accident; Transport engineering; Forensic engineering; Engineering; Philosophy; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006207831,0.001063253,0.000817752,0.001196297,0.0004942641,0.001259192,0.001907643,0.0008213718,0.08544029],"category_scores_gemma":[0.002128277,0.0003872813,0.001114368,0.002469949,0.0002150939,0.001227426,0.0006276066,0.001259938,0.03462083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467783,"about_ca_system_score_gemma":0.001744351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990973,"about_ca_topic_score_gemma":0.0242421,"domain_scores_codex":[0.9995444,0.0001132527,0.00002883988,0.0001045446,0.0001658581,0.0000430896],"domain_scores_gemma":[0.9992979,0.0001944569,0.00006912631,0.0001035919,0.0003036958,0.00003138024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005350953,0.0001172954,0.003589429,0.0003310366,0.0001167334,0.00007815034,0.0001079933,0.2951879,0.0002487905,0.204144,0.3433453,0.1526798],"study_design_scores_gemma":[0.00004014318,0.00008441149,0.003836785,0.0001952752,0.0000925464,0.0001936749,0.0001186284,0.3780105,0.0002398865,0.1592655,0.4578725,0.00005019305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01200058,0.006942412,0.5066793,0.003602769,0.001377382,0.0006729269,0.1102655,0.004233823,0.3542253],"genre_scores_gemma":[0.2055557,0.01083066,0.09778819,0.0007030085,0.0008038852,0.001269713,0.1201917,0.001078177,0.5617789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08544029,"threshold_uncertainty_score":0.2858262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131212812615984,"score_gpt":0.1980194182183933,"score_spread":0.1867072900922335,"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."}}