{"id":"W4206746675","doi":"10.1109/access.2021.3136226","title":"Survey of RPAS Autonomous Control Systems Using Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; British Columbia Institute of Technology","funders":"University of Mumbai; British Columbia Institute of Technology; Northeastern University","keywords":"Computer science; Field (mathematics); Autonomy; Control (management); Control system; Systems engineering; Artificial intelligence; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008544946,0.0007543887,0.0007172375,0.001890733,0.0004375884,0.00166421,0.001346835,0.000805791,0.003852321],"category_scores_gemma":[0.001733876,0.0005603394,0.0005853318,0.003026104,0.0003880428,0.001953712,0.0008796183,0.000815166,0.001733387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282484,"about_ca_system_score_gemma":0.001073288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001902186,"about_ca_topic_score_gemma":0.0009149949,"domain_scores_codex":[0.9990519,0.0001252138,0.0001006369,0.0001846648,0.000472543,0.00006502342],"domain_scores_gemma":[0.999003,0.000421953,0.00007807877,0.0001252926,0.0003310447,0.00004058039],"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":[0.0001113936,0.000100161,0.001475205,0.003343655,0.00008664621,0.0001015689,0.0001214281,0.01170427,0.003661861,0.02039231,0.00700927,0.9518922],"study_design_scores_gemma":[0.00003731933,0.0007872483,0.005857378,0.002487011,0.0002019753,0.0008816195,0.0002855018,0.0743023,0.01097672,0.01843581,0.8856317,0.0001154055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02336833,0.5809827,0.2874354,0.001800155,0.0008897624,0.0003261786,0.0004928077,0.001851102,0.1028536],"genre_scores_gemma":[0.2285689,0.5913748,0.1500102,0.001313445,0.001185156,0.0003556691,0.002481679,0.0003080582,0.02440204],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003852321,"threshold_uncertainty_score":0.01288724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674397583161026,"score_gpt":0.2996011143758428,"score_spread":0.2321613560597402,"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."}}