{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002652565,0.0001741183,0.0002539326,0.0002112496,0.0001449869,0.00008638479,0.00008290452,0.0001237611,0.00001795008],"category_scores_gemma":[0.00006262799,0.0001721258,0.00004792025,0.0004101582,0.00002849865,0.0004123303,0.00003360453,0.0001967041,0.00001798185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005417356,"about_ca_system_score_gemma":0.00000806295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000781487,"about_ca_topic_score_gemma":0.00000751497,"domain_scores_codex":[0.9988462,0.00007256668,0.0004673941,0.0001574974,0.0002158279,0.0002405158],"domain_scores_gemma":[0.9995291,0.00005852784,0.00008772644,0.0001690717,0.00008197389,0.00007359558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002167301,0.0000228149,0.00239305,0.001053475,0.00005692632,0.00001285339,0.001965042,0.2093982,0.7606322,0.0001970734,0.0001591819,0.02408753],"study_design_scores_gemma":[0.0002924853,0.0000290109,0.04396143,0.000387095,0.00002828303,0.00002235486,0.0001163307,0.851679,0.1031528,0.0001271708,0.00002269374,0.0001813373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922335,0.00004883115,0.006640285,0.00002866663,0.0001942244,0.0001999408,0.00001483685,0.0003276926,0.0003120574],"genre_scores_gemma":[0.9982451,0.00002519993,0.001507548,0.0000146676,0.00005922455,0.000003891594,0.00006805998,0.00004067724,0.00003561104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6574794,"threshold_uncertainty_score":0.7019086,"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."}}