{"id":"W4403768515","doi":"10.1080/00423114.2024.2419460","title":"A directional-performance control design for articulated heavy vehicles with extendable-trailers","year":2024,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Articulated vehicle; Engineering; Control (management); Automotive engineering; Control engineering; Transport engineering; Computer science; Truck; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005877101,0.000578216,0.0003612443,0.0003157285,0.0003838351,0.0008058528,0.0005921896,0.0004858141,0.001675289],"category_scores_gemma":[0.0005177707,0.0001977295,0.0003394966,0.0002015088,0.0003676793,0.0003293338,0.0005404441,0.0004214901,0.0003225361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755642,"about_ca_system_score_gemma":0.0007086542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004041742,"about_ca_topic_score_gemma":0.002621833,"domain_scores_codex":[0.9996964,0.00004255047,0.00002185674,0.00007980967,0.0001221313,0.00003731668],"domain_scores_gemma":[0.9997026,0.00004769875,0.00007519792,0.00002017998,0.0001354667,0.0000187754],"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":[0.0002990175,0.00009144365,0.0007284002,0.000384609,0.00005020897,0.0002316992,0.0002299244,0.8187395,0.08675135,0.006193649,0.0007444515,0.08555578],"study_design_scores_gemma":[0.00004404644,0.0004341444,0.000523906,0.00001862891,0.00002251194,0.00003493967,0.00003211894,0.9877023,0.00860503,0.0005811895,0.001984965,0.00001625731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0498051,0.0003114333,0.9409895,0.00008236522,0.00006339581,0.0001121762,0.00004284677,0.0003269681,0.008266307],"genre_scores_gemma":[0.9732214,0.0001795865,0.0235013,0.00002792312,0.00001813021,0.00009189508,0.00004343467,0.00001202471,0.002904319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004041742,"threshold_uncertainty_score":0.008036435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005682248530389513,"score_gpt":0.1783488471335076,"score_spread":0.1726665986031181,"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."}}