{"id":"W2519115629","doi":"10.1002/atr.1411","title":"Modeling traffic operation at signalized intersections without explicit left‐turn yielding rules with an enhanced cell transmission model","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Cell Transmission Model; Transmission (telecommunications); Transport engineering; Simulation; Turn (biochemistry); Computer science; Traffic simulation; Poison control; Engineering; Automotive engineering; Intersection (aeronautics); Physics; Medicine; Medical emergency; Telecommunications","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":[0.0003256664,0.0005967555,0.0005642454,0.0004235838,0.0003877359,0.001195251,0.001389691,0.0009994293,0.001897762],"category_scores_gemma":[0.0007665192,0.0003155244,0.0008690552,0.0004254543,0.0006309978,0.00108649,0.0007571497,0.0008862852,0.0002750868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009875223,"about_ca_system_score_gemma":0.001291947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382252,"about_ca_topic_score_gemma":0.01165636,"domain_scores_codex":[0.9997037,0.0000636633,0.0000159457,0.00006549091,0.00006842887,0.00008279096],"domain_scores_gemma":[0.9996214,0.0001137276,0.00007203614,0.0000460151,0.0001104055,0.00003641129],"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":[0.000006188578,0.000009730292,0.0003184587,0.000003081519,0.000003196792,0.0000193919,0.000008287402,0.996097,0.000317834,0.002394032,0.00006364947,0.0007591406],"study_design_scores_gemma":[9.628408e-7,0.000003583886,0.00004621479,6.725213e-7,0.000001432359,0.000002484655,0.00000311087,0.9995239,0.00004408989,0.0002981506,0.00007411363,0.000001392063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3122466,0.0002514062,0.6690327,0.0002471091,0.00008904858,0.00008624828,0.0005099893,0.0003620454,0.01717499],"genre_scores_gemma":[0.9826637,0.0001377607,0.0125759,0.00002490602,0.00001943555,0.00006820766,0.00016899,0.00002675535,0.004314353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03382252,"threshold_uncertainty_score":0.06725127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00829741104486401,"score_gpt":0.2142489737646484,"score_spread":0.2059515627197843,"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."}}