{"id":"W4411138721","doi":"10.1155/atr/6554672","title":"Real‐Time Safety Evaluation at Signalized Intersections: Hierarchical Bayesian Extreme Value Theory Models Based on Different Conflict Types","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Bayesian probability; Computer science; Extreme value theory; Statistics; Mathematics; Artificial intelligence","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":[0.003627474,0.0002024656,0.0005489253,0.0008148532,0.0002456817,0.00005424495,0.000342564,0.0001091484,0.000823273],"category_scores_gemma":[0.0005845416,0.0001418585,0.000511361,0.0007710558,0.00008357303,0.0005046749,0.000005169929,0.0002745798,0.00001354422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918077,"about_ca_system_score_gemma":0.0001892861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001327865,"about_ca_topic_score_gemma":0.0001414,"domain_scores_codex":[0.9952182,0.0009108036,0.001533212,0.0003458086,0.00181062,0.0001814036],"domain_scores_gemma":[0.9958019,0.002048086,0.0007917364,0.0003401928,0.00089731,0.0001208262],"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":[0.005739539,0.0001434512,0.0003892646,0.000005821135,0.0001094011,0.000006895417,0.0008178061,0.9336394,0.004509264,0.003584358,0.00008435426,0.05097045],"study_design_scores_gemma":[0.003446389,0.0003620333,0.08991265,0.000221309,0.0005433082,0.000002191062,0.0005714653,0.591342,0.001368927,0.3114131,0.0006140627,0.0002024986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.381374,0.0002032305,0.6128402,0.001782852,0.0004642459,0.0003340739,0.00003300764,0.0000255329,0.002942797],"genre_scores_gemma":[0.9962445,0.0004130715,0.002258479,0.0001783282,0.00005275734,0.00001028246,0.00005142785,0.00001201738,0.0007791295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6148705,"threshold_uncertainty_score":0.9014262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04746062452582767,"score_gpt":0.3516237746841135,"score_spread":0.3041631501582859,"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."}}