{"id":"W3103655276","doi":"10.1155/2020/8881545","title":"Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Crash; Computer science; Collision; Poison control; Decision tree; Descriptive statistics; Intersection (aeronautics); Statistics; Transport engineering; Artificial intelligence; Computer security; Engineering; Medicine; Mathematics; Environmental health","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":[0.0001571277,0.00009491042,0.0003404529,0.00008865261,0.00004206222,0.000004926638,0.0001924439,0.00004024765,0.000004073019],"category_scores_gemma":[0.00002240939,0.00007241933,0.0001243329,0.00054577,0.00002519986,0.0004061011,0.000003192617,0.0001617798,5.070882e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001811246,"about_ca_system_score_gemma":0.00002541496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001015823,"about_ca_topic_score_gemma":0.00003793411,"domain_scores_codex":[0.9990303,0.00001983169,0.0005624681,0.00008174463,0.0002134369,0.00009223574],"domain_scores_gemma":[0.9992853,0.00009452939,0.0003518644,0.0001314307,0.00009060813,0.00004629268],"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":[0.00004223685,0.00001574399,0.0168107,0.00007008663,0.0004357614,0.0000018233,0.007157357,0.9487463,0.02608283,0.000004092788,0.000002674482,0.0006303969],"study_design_scores_gemma":[0.0002673744,0.00002148781,0.3043168,0.00004091879,0.0005661722,4.21714e-7,0.00156327,0.6896043,0.003563416,0.000003725972,0.000001451751,0.00005061201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944123,0.0001148924,0.05546565,0.00002382041,0.00006998152,0.00005123244,0.00009027986,0.00005533289,0.000005852659],"genre_scores_gemma":[0.9950762,0.00005331394,0.004782905,0.000007012473,0.00001369089,9.031623e-8,0.00005313883,0.00001341277,2.085547e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875061,"threshold_uncertainty_score":0.2953175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465197004746484,"score_gpt":0.2703856694039722,"score_spread":0.2357336993565074,"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."}}