{"id":"W4389299519","doi":"10.3390/electronics12234881","title":"Recent Advances in Motion Planning and Control of Autonomous Vehicles","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Intervention (counseling); Control (management); Motion (physics); Motion planning; Computer science; Motion control; Engineering; Transport engineering; Aeronautics; Artificial intelligence; Psychology; Robot","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":[0.0003834943,0.0005697325,0.0004167965,0.0007172812,0.0003196013,0.0009056777,0.0007906397,0.0006705521,0.003973547],"category_scores_gemma":[0.001396419,0.0003614034,0.0003171403,0.002047866,0.0005631872,0.001597462,0.0009099425,0.00125799,0.001520029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004535833,"about_ca_system_score_gemma":0.0008179963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190005,"about_ca_topic_score_gemma":0.001646286,"domain_scores_codex":[0.9995629,0.00004891115,0.00002654808,0.0001134603,0.000212304,0.00003579454],"domain_scores_gemma":[0.9992505,0.0003134904,0.00006745177,0.00007769473,0.0002447364,0.00004612361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009744958,0.00005897193,0.0005612373,0.001650467,0.00003065954,0.00009184893,0.0001164758,0.03718883,0.008069771,0.03375354,0.01309814,0.9052826],"study_design_scores_gemma":[0.00003108909,0.0002870125,0.002084582,0.0005442,0.00009918008,0.0005364621,0.0001950783,0.1653764,0.01288827,0.07753763,0.7403479,0.0000722595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0154077,0.4080853,0.5090887,0.004908759,0.00216366,0.0001003145,0.0003670962,0.001147695,0.05873074],"genre_scores_gemma":[0.2747988,0.4883948,0.2098826,0.001136407,0.003123644,0.0001506845,0.001129869,0.0002571261,0.02112614],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003973547,"threshold_uncertainty_score":0.01329285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355840697376366,"score_gpt":0.2634772865931843,"score_spread":0.2499188796194206,"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."}}