{"id":"W4388917367","doi":"10.23977/jeis.2023.080505","title":"UAV Path Planning Method Based on Improved Wolf Pack Algorithm","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Motion planning; Computer science; Convergence (economics); Algorithm; Path (computing); Genetic algorithm; Trajectory; Route planning; MATLAB; Drone; Mathematical optimization; Artificial intelligence; Mathematics; Geography; Robot; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004254593,0.0001144282,0.0001724895,0.0008078932,0.0002903351,0.0005084962,0.0007978214,0.00004408831,0.000001087136],"category_scores_gemma":[0.0003565152,0.00008936927,0.00004797222,0.001907735,0.000062924,0.00535357,0.00009816063,0.0003273087,0.00001330822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165665,"about_ca_system_score_gemma":0.0007750849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001392258,"about_ca_topic_score_gemma":1.676021e-8,"domain_scores_codex":[0.9980664,0.00004084804,0.0004879693,0.0001397451,0.0008244661,0.0004405844],"domain_scores_gemma":[0.9984773,0.0001941302,0.0005276086,0.0002352451,0.0003934421,0.0001722235],"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":[0.00002647764,0.00004200813,0.0001919964,0.00002439687,0.00001560093,0.00002986109,0.003088758,0.1879745,0.002370523,0.01431362,0.002024818,0.7898975],"study_design_scores_gemma":[0.0003678458,0.0005277006,0.002136391,0.00004351596,0.000002892716,0.00007681749,0.00006570854,0.9906763,0.0009436379,0.0006264239,0.004423794,0.000108924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00279234,0.00005420116,0.9951195,0.0008561863,0.0003840427,0.00007091726,0.000001674553,0.0000510791,0.0006700649],"genre_scores_gemma":[0.06793656,0.0001097724,0.930059,0.001758086,0.00009243083,0.000003639317,0.000002693624,0.000006702556,0.00003118699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8027019,"threshold_uncertainty_score":0.490344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422572126801233,"score_gpt":0.2958162509884254,"score_spread":0.2815905297204131,"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."}}