{"id":"W2998921071","doi":"10.1155/2020/9490586","title":"Partially Connected and Automated Traffic Operations in Road Transportation","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Engineering","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":[0.000581956,0.0004825304,0.0006847101,0.0009393705,0.000709646,0.00212245,0.001095532,0.0009400581,0.006456038],"category_scores_gemma":[0.00660176,0.0005143718,0.0005707886,0.00105493,0.001647174,0.003809865,0.001027868,0.0006671813,0.0004666316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007281979,"about_ca_system_score_gemma":0.0009664808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005770824,"about_ca_topic_score_gemma":0.00475555,"domain_scores_codex":[0.9990596,0.0003330398,0.00004436497,0.000258498,0.000176851,0.0001276188],"domain_scores_gemma":[0.9952419,0.003054124,0.0005333128,0.0003984153,0.0004665371,0.0003058012],"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":[0.0009372339,0.0003729656,0.01745167,0.0001983315,0.0001542588,0.001048734,0.000805785,0.6938285,0.004075773,0.2207858,0.002313387,0.05802757],"study_design_scores_gemma":[0.00002245143,0.0001160525,0.008312053,0.00001948109,0.00002874113,0.0001617411,0.0004372116,0.821844,0.0009837816,0.1667232,0.0013218,0.00002938395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8950353,0.0003164856,0.09375479,0.0001948455,0.00004505036,0.000058469,0.000375469,0.000171476,0.01004814],"genre_scores_gemma":[0.9928738,0.00008600721,0.004353391,0.000006114656,0.00002508817,0.00001791492,0.0001541578,0.0000206589,0.002462925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006456038,"threshold_uncertainty_score":0.02159762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006387045301571618,"score_gpt":0.2107765603009558,"score_spread":0.2043895149993842,"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."}}