{"id":"W2040778139","doi":"10.1002/atr.114","title":"Characterization and comparison of traffic flow on reversible roadways","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Louisiana State University","keywords":"Traffic flow (computer networking); Traffic volume; Transport engineering; Flow (mathematics); Computer science; Traffic congestion; Environmental science; Simulation; Engineering; Mathematics; Computer network","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":[0.0003345148,0.0002599268,0.0002421451,0.002374518,0.0003111247,0.0004979199,0.0004274279,0.0002255281,0.001505883],"category_scores_gemma":[0.001386669,0.0001282669,0.0002204119,0.001137698,0.0004753878,0.0005363472,0.0002321406,0.0001874981,0.0001731692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004737897,"about_ca_system_score_gemma":0.0003496765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766854,"about_ca_topic_score_gemma":0.004658934,"domain_scores_codex":[0.9996464,0.00006972841,0.0000172558,0.00007128381,0.0001376842,0.00005766383],"domain_scores_gemma":[0.9989306,0.0002756182,0.0002484104,0.00006737863,0.0004240851,0.00005390953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002268032,0.0007772128,0.4610514,0.0003850408,0.000161639,0.000792322,0.00139468,0.1252014,0.2610418,0.005062603,0.0007508998,0.1411131],"study_design_scores_gemma":[0.00004614513,0.001224547,0.5617788,0.00004560661,0.0001096455,0.0004465914,0.001678807,0.3046366,0.1249288,0.002310656,0.002625239,0.0001684834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949917,0.00002564035,0.00405787,0.0000038662,0.000003799768,0.00002770689,0.0001556066,0.00003399796,0.0006998096],"genre_scores_gemma":[0.9985648,0.00001830874,0.001036081,0.000001000128,0.000001549786,0.00001153928,0.0001954094,0.000003494069,0.0001680173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005766854,"threshold_uncertainty_score":0.01146662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650142716208284,"score_gpt":0.2107669804821392,"score_spread":0.2051168377659309,"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."}}