{"id":"W2372971061","doi":"","title":"Research on Traffic Accident Frequency Prediction Based on Translog Production Function","year":2013,"lang":"en","type":"article","venue":"Journal of Hunan University","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Goodness of fit; Engineering; Statistics; Accident (philosophy); Mathematics","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":[0.001197812,0.0009451547,0.0008455334,0.001322357,0.0003617235,0.001086381,0.0009472629,0.0006466016,0.001229456],"category_scores_gemma":[0.003700689,0.0003817003,0.0009471235,0.001520924,0.0004484438,0.002211025,0.0005408481,0.0009017964,0.000374992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033681,"about_ca_system_score_gemma":0.001377106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327112,"about_ca_topic_score_gemma":0.003537278,"domain_scores_codex":[0.9992569,0.000207063,0.00003663909,0.0002550283,0.0001610813,0.00008323511],"domain_scores_gemma":[0.998602,0.0008396109,0.0001251186,0.0001021503,0.0002881273,0.00004301893],"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":[0.0002721558,0.0001852943,0.03556868,0.0002419897,0.0001474043,0.0003825718,0.0002538392,0.8095059,0.003680521,0.009615649,0.001425214,0.1387208],"study_design_scores_gemma":[0.000004470276,0.00004224161,0.003237202,0.000008989426,0.00002196831,0.00004382482,0.00002876496,0.9937876,0.0005709961,0.001863521,0.0003785849,0.00001174515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2419368,0.001126546,0.7519047,0.0005573749,0.000117425,0.00006366311,0.0002861218,0.0008369479,0.003170545],"genre_scores_gemma":[0.9712316,0.001040367,0.02492434,0.00006235883,0.00007453937,0.00006616613,0.000323721,0.00005934782,0.002217576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01327112,"threshold_uncertainty_score":0.02638775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043143228602328,"score_gpt":0.2251772971232394,"score_spread":0.2047458648372161,"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."}}