{"id":"W4244580033","doi":"10.1002/atr.1220","title":"Traffic control and management—recent methodological advances","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control (management); Environmental science; Computer science; Transport engineering; Engineering; Environmental planning; 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":[0.01355078,0.001944805,0.001892133,0.003715529,0.00118943,0.008649074,0.003841754,0.003296084,0.004873333],"category_scores_gemma":[0.03054064,0.0008085396,0.001242567,0.007669499,0.006986261,0.007505209,0.003962246,0.004201288,0.0009208776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003119411,"about_ca_system_score_gemma":0.006527878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008383865,"about_ca_topic_score_gemma":0.006489717,"domain_scores_codex":[0.994988,0.002879499,0.0003741297,0.0008386791,0.0007515402,0.0001682627],"domain_scores_gemma":[0.980225,0.01407705,0.001317222,0.001361966,0.002676183,0.0003425261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001299888,0.0002971812,0.003390868,0.002116396,0.0002686742,0.00007526138,0.0003687753,0.01784514,0.0004434854,0.724453,0.005415632,0.2451957],"study_design_scores_gemma":[0.00005610121,0.0001182084,0.003092713,0.001330352,0.0001668709,0.0001335139,0.0008275123,0.08263196,0.0004759489,0.8390254,0.07208647,0.00005489264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00925553,0.3556369,0.5827187,0.02622752,0.002866977,0.00009335994,0.0002736754,0.0001133048,0.022814],"genre_scores_gemma":[0.2824232,0.4338986,0.2501804,0.003983452,0.02049624,0.0004389022,0.0004810582,0.0002271172,0.007871099],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01355078,"threshold_uncertainty_score":0.07166421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819862680856111,"score_gpt":0.3476067875034068,"score_spread":0.3094081606948457,"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."}}