{"id":"W2908916435","doi":"10.1155/2019/2747569","title":"A Group-Based Signal Timing Optimization Model Considering Safety for Signalized Intersections with Mixed Traffic Flows","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Sorting; Genetic algorithm; SIGNAL (programming language); Signal timing; Process (computing); Probabilistic logic; Computer science; Simulation; Engineering; Traffic signal; Real-time computing; Algorithm; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087609,0.001495802,0.001422498,0.00086239,0.0007932766,0.001717154,0.001779143,0.002425746,0.003061456],"category_scores_gemma":[0.001241287,0.0008046205,0.001422866,0.0008982132,0.001003338,0.000994556,0.001231141,0.001391131,0.0002733803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657425,"about_ca_system_score_gemma":0.002202476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02719654,"about_ca_topic_score_gemma":0.01258452,"domain_scores_codex":[0.9994285,0.0001440613,0.00002315722,0.0001618851,0.0001040667,0.0001384877],"domain_scores_gemma":[0.9994534,0.000228549,0.0001040425,0.00001439467,0.0001517495,0.00004791415],"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":[0.00001324556,0.00001109928,0.0001869667,0.00001688193,0.000008508754,0.00003166591,0.00001727502,0.99679,0.000197542,0.001770903,0.00008857544,0.0008673662],"study_design_scores_gemma":[0.000004500756,0.00001054876,0.00004336738,0.000001812053,0.000004987317,0.000002417655,0.000005922444,0.9994013,0.00003302282,0.000411687,0.00007788133,0.000002623709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07889877,0.0004442184,0.9082375,0.0004370129,0.00008534834,0.0001422614,0.0002338445,0.0002036293,0.0113174],"genre_scores_gemma":[0.9551575,0.0004276181,0.0345417,0.00008835008,0.00003627191,0.0004008425,0.000220405,0.00004059937,0.009086655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02719654,"threshold_uncertainty_score":0.05407643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007677778640442416,"score_gpt":0.2004099944123899,"score_spread":0.1927322157719475,"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."}}