{"id":"W4366768916","doi":"10.30598/barekengvol17iss1pp0095-0100","title":"DIVING MOTION ESTIMATION OF REMOTELY OPERATED VEHICLE USING ENSEMBLE KALMAN FILTER AND H-INFINITY","year":2023,"lang":"en","type":"article","venue":"BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Remotely operated underwater vehicle; Kalman filter; Remotely operated vehicle; Marine engineering; Underwater; Position (finance); Extended Kalman filter; Computer science; Engineering; Aerospace engineering; Artificial intelligence; Geology; Oceanography; Mobile 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":[0.0002771214,0.0004581437,0.0004189572,0.0004755829,0.000232472,0.0003016114,0.0003042972,0.0003296265,0.0004309509],"category_scores_gemma":[0.0008321528,0.0002196587,0.0004982252,0.0002797132,0.0001360426,0.0007522513,0.000362509,0.0003979505,0.000155271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936931,"about_ca_system_score_gemma":0.0003477271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008014958,"about_ca_topic_score_gemma":0.005501004,"domain_scores_codex":[0.9997784,0.00003465543,0.00001241321,0.00006980322,0.00008459242,0.00002006198],"domain_scores_gemma":[0.9997649,0.00005977353,0.00004431557,0.00002008397,0.00009987336,0.00001112694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000181827,0.00006594118,0.01423751,0.0001605045,0.0001707343,0.0001909661,0.0002626272,0.6693377,0.03410679,0.002031489,0.001018726,0.278235],"study_design_scores_gemma":[0.000006948946,0.00005314162,0.003559413,0.000008316259,0.0000175705,0.00004082841,0.00002498748,0.9925929,0.002920225,0.0003567649,0.0004029573,0.00001592928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1890152,0.0003563645,0.8080944,0.00006412299,0.00005448102,0.00001996724,0.00007015075,0.0004112351,0.001914022],"genre_scores_gemma":[0.9402204,0.0002455114,0.05817749,0.0000200291,0.00002133881,0.00002239258,0.0001509414,0.00002033504,0.001121613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008014958,"threshold_uncertainty_score":0.01593661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623021271709056,"score_gpt":0.2510775472349029,"score_spread":0.2248473345178123,"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."}}