{"id":"W4385235333","doi":"10.1155/2023/6643412","title":"Examining Car Accident Prediction Techniques and Road Traffic Congestion: A Comparative Analysis of Road Safety and Prevention of World Challenges in Low-Income and High-Income Countries","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jimma University","keywords":"Traffic congestion; Transport engineering; Bayes' theorem; Poison control; Computer science; Support vector machine; Geospatial analysis; Bayesian network; Case fatality rate; Business; Engineering; Environmental health; Geography; Bayesian probability; Machine learning; Artificial intelligence; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838518,0.0001239742,0.0005150644,0.0007325572,0.00002859946,0.000006078667,0.00003557042,0.00006442462,0.000002499092],"category_scores_gemma":[0.000005477364,0.0001188072,0.00004736336,0.0005587894,0.00006378228,0.000403067,0.000002445751,0.0001311485,4.120277e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004132687,"about_ca_system_score_gemma":0.00001482474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006416729,"about_ca_topic_score_gemma":0.0007052632,"domain_scores_codex":[0.9988015,0.00003964463,0.0007476783,0.000120853,0.000191418,0.00009893488],"domain_scores_gemma":[0.9993902,0.00008570043,0.0003117711,0.0000590104,0.0001064494,0.00004681496],"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":[0.0003623964,0.00002395126,0.05465522,0.0004195677,0.0004214075,0.0000140786,0.01008825,0.8799987,0.0005094337,0.0001445634,3.07847e-7,0.05336208],"study_design_scores_gemma":[0.0009447609,0.000218241,0.9907768,0.0006913119,0.0003077866,0.000004971695,0.001966486,0.004533927,0.0004182394,0.00003181045,0.00001719712,0.00008844295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961802,0.002844342,0.0006098016,0.0000337304,0.00007930657,0.0001602512,0.00003260523,0.00004792364,0.00001183761],"genre_scores_gemma":[0.9811214,0.01794245,0.0008695163,4.311793e-7,0.00002053484,0.000005219828,0.00002721456,0.000008364501,0.000004844251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9361216,"threshold_uncertainty_score":0.4844815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683186176577104,"score_gpt":0.2603541729698746,"score_spread":0.2435223112041036,"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."}}