{"id":"W4404179575","doi":"10.1109/tiv.2024.3494873","title":"Vehicle-Specific Virtual Traffic Control Strategy to Reduce the Start-Up Delay for Autonomous Heavy Trucks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; University of Windsor","funders":"","keywords":"Truck; Control (management); Automotive engineering; Computer science; Aeronautics; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001791504,0.0004944665,0.0003201069,0.0004282158,0.0004353296,0.0005073294,0.0007075061,0.0002334613,0.001252515],"category_scores_gemma":[0.0003361182,0.0001478189,0.0002382732,0.0001872915,0.0003764323,0.0004760165,0.0006222527,0.0003109572,0.0002346946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003882204,"about_ca_system_score_gemma":0.0009841073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316512,"about_ca_topic_score_gemma":0.00466205,"domain_scores_codex":[0.9998078,0.00002626555,0.000007086503,0.00004447091,0.00005244183,0.00006203875],"domain_scores_gemma":[0.9997488,0.00002960379,0.00004640129,0.0000247382,0.00009718315,0.00005336001],"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":[0.0003863361,0.0002290016,0.002746839,0.00007406549,0.00003994253,0.0002583542,0.0001643751,0.8143392,0.08654374,0.01073294,0.001819038,0.08266611],"study_design_scores_gemma":[0.00001572987,0.0002065004,0.0006461268,0.000003165054,0.00001704229,0.00005461851,0.0000585475,0.9878862,0.00829978,0.001346585,0.00145471,0.0000109555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.308622,0.0001608485,0.6806516,0.0001202716,0.0000937569,0.00007487702,0.00004699597,0.001192292,0.009037351],"genre_scores_gemma":[0.992323,0.00001958425,0.006841988,0.00001365976,0.00000531242,0.00001204901,0.0000216794,0.000009606038,0.0007530707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004316512,"threshold_uncertainty_score":0.008582771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979458752292911,"score_gpt":0.2652304623690429,"score_spread":0.2354358748461138,"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."}}