{"id":"W1909447605","doi":"10.1002/atr.1189","title":"Examination of factors affecting freeway incident clearance times: a comparison of the generalized <i>F</i> model and several alternative nested models","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incident management; Transport engineering; Hazard; Statistics; Incident report; Estimation; Poison control; Parametric statistics; Computer science; Engineering; Mathematics; Forensic engineering; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01627174,0.00137038,0.00134938,0.001527972,0.0008081749,0.002023776,0.003351636,0.00136277,0.002780692],"category_scores_gemma":[0.02982654,0.0007875264,0.004762391,0.0007918053,0.0009017633,0.001900187,0.001522988,0.001897699,0.0003448093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262651,"about_ca_system_score_gemma":0.003883563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05882441,"about_ca_topic_score_gemma":0.0272548,"domain_scores_codex":[0.9943812,0.003418114,0.0001650106,0.0008211503,0.0005588773,0.0006556087],"domain_scores_gemma":[0.962625,0.03032764,0.002594876,0.001483535,0.002245161,0.000723663],"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":[0.0007226168,0.0005855348,0.03422782,0.0001035949,0.0004046425,0.0002806242,0.0004224764,0.9335813,0.0007097344,0.00931262,0.0009321506,0.01871696],"study_design_scores_gemma":[0.00002423635,0.0002455637,0.003566363,0.00001263919,0.00006745836,0.00003507964,0.0001194682,0.9943334,0.0001207099,0.001221288,0.0002270129,0.00002688547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878821,0.000274094,0.108294,0.000220396,0.00007140853,0.0002588793,0.0003591244,0.0002164615,0.002423492],"genre_scores_gemma":[0.9808306,0.0001042583,0.01720215,0.00003847017,0.00002355547,0.0001470882,0.0003757295,0.00005261209,0.001225609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05882441,"threshold_uncertainty_score":0.116964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781506195412429,"score_gpt":0.2483592683916769,"score_spread":0.2305442064375526,"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."}}