{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565655,0.00006973073,0.0001319111,0.0001281595,0.0000331826,0.00001967038,0.0002011507,0.00003677293,4.494665e-7],"category_scores_gemma":[0.00005546273,0.00007048473,0.0000121805,0.0004381268,0.00001923951,0.0002249503,0.00004401835,0.0001236724,0.000005001406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005300669,"about_ca_system_score_gemma":0.00006459507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001164363,"about_ca_topic_score_gemma":0.000001703555,"domain_scores_codex":[0.9991891,0.00004542222,0.0001623813,0.0001942793,0.000127358,0.0002813945],"domain_scores_gemma":[0.9996178,0.000111013,0.0000689184,0.0001494627,0.00002375265,0.00002908448],"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":[0.000009606783,0.00002724336,0.01063439,0.00002110786,0.000008968845,0.00002993569,0.0009607428,0.08425105,0.001490045,0.004523495,0.00004980815,0.8979936],"study_design_scores_gemma":[0.0006432555,0.0001715444,0.02482751,0.00004657742,0.000003169016,0.0000130667,0.00003006066,0.9580327,0.001897902,0.004523238,0.009681555,0.0001293825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263092,0.1184356,0.7527127,0.001256088,0.0003113782,0.0002515608,0.000002811928,0.000372565,0.0003480891],"genre_scores_gemma":[0.9821145,0.00623064,0.01149134,0.00007038977,0.00002896223,0.00001316353,0.000004097739,0.000009407365,0.00003749981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8978642,"threshold_uncertainty_score":0.2874284,"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."}}