{"id":"W3044502675","doi":"","title":"Special Issue on Advances in Modelling Connected and Automated Vehicles","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Transport engineering; Engineering; Data science","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":[0.001878265,0.001739705,0.002412615,0.00261469,0.0007092459,0.003294662,0.002248571,0.002322456,0.07851854],"category_scores_gemma":[0.003599111,0.0005144373,0.001231597,0.002014933,0.0007252092,0.003090144,0.002022218,0.002816963,0.02233564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487289,"about_ca_system_score_gemma":0.001168088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007021092,"about_ca_topic_score_gemma":0.001385512,"domain_scores_codex":[0.9988995,0.0001510232,0.0001132111,0.0002620684,0.0004689086,0.0001053125],"domain_scores_gemma":[0.9960436,0.001234265,0.0002366046,0.0004935968,0.001382548,0.0006093173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001052941,0.0001334218,0.0003721734,0.0009675637,0.00009353927,0.0002359239,0.00003267811,0.002553218,0.001444925,0.009223124,0.8793238,0.1055143],"study_design_scores_gemma":[0.00002125032,0.0001435238,0.0009009904,0.0002649716,0.00007012462,0.0004506549,0.00003475684,0.005446729,0.0008279165,0.01294378,0.9788713,0.00002398483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002911598,0.06514158,0.03288918,0.01297712,0.8177171,0.0001408768,0.001240057,0.0006516166,0.06633091],"genre_scores_gemma":[0.0189525,0.07503627,0.01260096,0.003618539,0.6616162,0.0001426563,0.003607389,0.001089436,0.2233361],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07851854,"threshold_uncertainty_score":0.2626707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006740026768337352,"score_gpt":0.2291077183653002,"score_spread":0.2223676915969629,"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."}}