{"id":"W1921581994","doi":"10.1002/atr.1244","title":"Traffic performance of shared lanes at signalized intersections based on cellular automata modeling","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cellular automaton; Computer science; Traffic volume; Traffic simulation; Flexibility (engineering); Traffic conflict; Transport engineering; Simulation; Intersection (aeronautics); Engineering; Floating car data; Algorithm; Traffic congestion; Mathematics; Statistics","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":[0.0004519765,0.0006825041,0.000647851,0.0007077381,0.0005829633,0.001200266,0.0008654518,0.0008234238,0.00170924],"category_scores_gemma":[0.001587156,0.0003407754,0.0009382872,0.0006300176,0.0006711672,0.0008218255,0.0006735557,0.0004939797,0.0001844468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705127,"about_ca_system_score_gemma":0.0009727691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0408389,"about_ca_topic_score_gemma":0.01589249,"domain_scores_codex":[0.9995008,0.000169313,0.00002865283,0.00009577405,0.0000913966,0.0001142074],"domain_scores_gemma":[0.998304,0.0008559671,0.0001957669,0.0001779418,0.0003535199,0.0001126924],"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":[0.00004091219,0.00001994211,0.001616511,0.0000055414,0.00001608501,0.00001720493,0.00001933141,0.9964554,0.0005210437,0.0004336477,0.00004337542,0.000810943],"study_design_scores_gemma":[0.000002809929,0.00002050307,0.0002595102,0.000001288636,0.000006301489,0.000002561482,0.00001238949,0.9992138,0.0002772181,0.0001693371,0.00003030602,0.000003993631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720541,0.0000683351,0.0234385,0.00006173903,0.00001844499,0.00002535488,0.0001579112,0.00019473,0.003980872],"genre_scores_gemma":[0.9986872,0.0000148628,0.001015135,0.000002465721,0.000001209767,0.0000101974,0.00004191116,0.000004040696,0.0002229844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408389,"threshold_uncertainty_score":0.08120239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463989551119717,"score_gpt":0.1874307261916468,"score_spread":0.1809667366405271,"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."}}