{"id":"W4207000465","doi":"10.32920/16834393","title":"Motion Boundaries Formation For Autonomous Vehicles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Curvilinear coordinates; Nonlinear system; Trajectory; Control theory (sociology); Model predictive control; Motion (physics); Computer science; Nonlinear model; Horizon; Time horizon; Mathematical optimization; Control (management); Mathematics; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349427,0.0002151444,0.0002682191,0.00009724498,0.0001810353,0.0002040148,0.0001779805,0.0006553713,0.00005336929],"category_scores_gemma":[0.00002200083,0.0002354332,0.0001336421,0.00005124884,0.00008164751,0.0001812725,0.0001502161,0.0004157794,0.00001662271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965835,"about_ca_system_score_gemma":0.00008692239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131185,"about_ca_topic_score_gemma":0.00006661755,"domain_scores_codex":[0.9991565,0.0000107706,0.0003159975,0.0002179802,0.00006725273,0.00023145],"domain_scores_gemma":[0.9994726,0.00002874781,0.00005316697,0.000344055,0.00007171592,0.00002976654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004392628,0.0001351425,0.0004044629,0.004669088,0.0007050419,0.00001744431,0.004021271,0.2712375,0.004554563,0.08063765,0.01252171,0.6210522],"study_design_scores_gemma":[0.0004046821,0.00003101647,0.001329516,0.0000942676,0.00008474548,0.00001835331,0.000434595,0.8838404,0.05611474,0.02292262,0.03404308,0.0006819541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1722997,0.00083157,0.8176887,0.0004372308,0.001081366,0.0005185112,0.0000469191,0.002895663,0.004200305],"genre_scores_gemma":[0.9845512,0.00008708374,0.01430983,0.00004535925,0.00008179381,0.0002108423,0.0004331279,0.0000394921,0.0002412763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8122514,"threshold_uncertainty_score":0.9600686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132752575833675,"score_gpt":0.2200661083294663,"score_spread":0.2067908507460988,"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."}}