{"id":"W1981655625","doi":"10.1016/j.aap.2011.01.009","title":"A stochastic catastrophe model using two-fluid model parameters to investigate traffic safety on urban arterials","year":2011,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crash; Poison control; Transport engineering; Computer science; Catastrophe theory; Engineering; Stochastic modelling; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007053962,0.0009141393,0.001501788,0.0009370137,0.0009435895,0.001220786,0.001658732,0.002458902,0.001156765],"category_scores_gemma":[0.0020839,0.0006369753,0.001595197,0.0005392301,0.001297718,0.00111514,0.001041019,0.001313715,0.00009523774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257847,"about_ca_system_score_gemma":0.001165792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0312339,"about_ca_topic_score_gemma":0.01038417,"domain_scores_codex":[0.9995384,0.0001747845,0.00001863717,0.00008649225,0.0000582877,0.0001234759],"domain_scores_gemma":[0.9986664,0.0006707401,0.0001571665,0.00006497304,0.0002699322,0.0001708967],"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":[0.0000241205,0.00004584409,0.0009611414,0.00001246696,0.00002355171,0.0001012541,0.00002408611,0.9930801,0.0007407686,0.004417289,0.0001978389,0.0003715141],"study_design_scores_gemma":[0.000004658985,0.00001160961,0.0002171731,7.973541e-7,0.000007132133,0.000004950428,0.000009649572,0.9993179,0.00004704555,0.0003470177,0.00002611235,0.000005960234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512388,0.0003075632,0.1407126,0.0006097876,0.0001660042,0.00009202496,0.0002823797,0.0002140065,0.006376815],"genre_scores_gemma":[0.9960549,0.00007575677,0.00197769,0.00002245602,0.00002526513,0.0000311925,0.00006512114,0.00001543947,0.001732141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0312339,"threshold_uncertainty_score":0.06210423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870634200782672,"score_gpt":0.2591405824854503,"score_spread":0.2104342404776236,"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."}}