{"id":"W4390742196","doi":"10.1016/j.apm.2024.01.002","title":"A model-based design synthesis method for autonomous articulated vehicles","year":2024,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control engineering; Trajectory; Articulated vehicle; Autonomous system (mathematics); Design methods; Engineering; Computer science; Robot; Simulation; Artificial intelligence; Automotive engineering; Truck","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097956,0.0002417246,0.000382092,0.00009595526,0.00006679116,0.0001533524,0.000142939,0.0001497999,0.00001190157],"category_scores_gemma":[0.00001376719,0.00021653,0.0001508785,0.000136396,0.00001713605,0.00004833385,0.00001127494,0.000142361,0.00005972606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000810328,"about_ca_system_score_gemma":0.00003677877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001194262,"about_ca_topic_score_gemma":1.884147e-7,"domain_scores_codex":[0.9987196,0.00001738221,0.0004222216,0.0002959972,0.000158781,0.0003860441],"domain_scores_gemma":[0.9985152,0.001086084,0.00002036162,0.0002447282,0.00002682854,0.0001068011],"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":[0.0000118258,0.00001948099,1.319856e-8,0.000585157,0.00007741188,0.000002162141,0.0001060182,0.8351672,0.009940872,0.146059,0.00003040741,0.008000529],"study_design_scores_gemma":[0.0001381501,0.00000777842,1.294085e-8,0.0001295147,0.0001112981,0.000002292488,0.00001244316,0.8385908,0.003850365,0.1568944,0.00003891136,0.0002239716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001695291,0.0001950877,0.9945519,0.00006565926,0.00005452553,0.000788203,0.00001308076,0.001040976,0.001595302],"genre_scores_gemma":[0.5933489,0.00000225068,0.4058084,0.00001692888,0.00003352849,0.0006900902,0.00000211532,0.00007514143,0.00002266817],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5916536,"threshold_uncertainty_score":0.8829835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029534627046165,"score_gpt":0.2417629545898742,"score_spread":0.2114676083194125,"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."}}