{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004325014,0.00008643441,0.00009959406,0.0007454882,0.0001242763,0.00002501613,0.0001421668,0.00007570888,0.00008294753],"category_scores_gemma":[0.00001306413,0.00008445267,0.00007916144,0.000327817,0.0000327986,0.0004259397,0.000005568215,0.0004415959,0.00003120313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340455,"about_ca_system_score_gemma":0.00002336132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006912177,"about_ca_topic_score_gemma":0.000008757241,"domain_scores_codex":[0.9990861,0.00008815034,0.0001628543,0.0001126585,0.0003998488,0.0001503924],"domain_scores_gemma":[0.9995278,0.0000264838,0.00005193466,0.0001389039,0.0001744146,0.00008046548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005482901,0.000578161,0.0008957899,0.00008714479,0.000154256,0.00005095432,0.0003420214,0.4970823,0.006183494,0.001552364,0.3849272,0.107598],"study_design_scores_gemma":[0.007103014,0.01588798,0.5331791,0.001324534,0.0004420612,0.00007741981,0.007273653,0.3116682,0.01351857,0.0009486135,0.1074362,0.00114058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531995,0.00002561881,0.02792556,0.0008872597,0.00149656,0.0004190637,0.000003259559,0.001081701,0.01496146],"genre_scores_gemma":[0.9992775,0.0001057463,0.0002573925,0.00002493076,0.0001562199,9.685351e-7,0.000002549125,0.00001037905,0.0001643609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5322834,"threshold_uncertainty_score":0.344388,"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."}}