{"id":"W2784542912","doi":"10.11591/ijeecs.v10.i1.pp380-391","title":"Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City","year":2018,"lang":"en","type":"article","venue":"Indonesian Journal of Electrical Engineering and Computer Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Transport engineering; Christian ministry; TRIPS architecture; Estimation; Unit (ring theory); Business; Environmental science; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006889065,0.00007233884,0.0001146506,0.0001784173,0.0001248685,0.00005879863,0.0001206707,0.00002185479,7.099923e-8],"category_scores_gemma":[0.00002039209,0.00005724703,0.00002257918,0.0003973478,0.00006693441,0.0002050421,0.0000255037,0.00009763784,1.534766e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055226,"about_ca_system_score_gemma":0.00002657112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000510561,"about_ca_topic_score_gemma":0.000001232784,"domain_scores_codex":[0.9993029,0.000007079878,0.0002936103,0.0001111416,0.0001539102,0.0001314069],"domain_scores_gemma":[0.9996117,0.00002660769,0.00009653204,0.00009312986,0.0001134243,0.00005855121],"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":[0.00003029111,0.0001641841,0.001528349,0.00009817091,0.00009955947,0.0001499067,0.00264399,0.5430369,0.08914292,0.0005660595,0.000122863,0.3624169],"study_design_scores_gemma":[0.0002003407,0.0002704913,0.003892432,0.00002464694,0.00002000013,0.002055681,0.00002949314,0.9905979,0.002811628,0.000008118038,0.0000297859,0.00005945371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5012425,0.00005378472,0.4984255,0.00001928934,0.00007080951,0.000131743,7.746311e-8,0.00005543915,8.306935e-7],"genre_scores_gemma":[0.9939475,0.000007132268,0.005900415,0.000006131174,0.0001271085,0.000005600403,5.351822e-8,0.000005764458,3.187574e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.492705,"threshold_uncertainty_score":0.2334466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551425778953586,"score_gpt":0.2452469299366379,"score_spread":0.229732672147102,"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."}}