{"id":"W4285729116","doi":"10.3390/machines10070582","title":"Thruster Fault Diagnostics and Fault Tolerant Control for Autonomous Underwater Vehicle with Ocean Currents","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation","keywords":"Fault (geology); Underwater; Particle swarm optimization; Fuzzy logic; Controller (irrigation); Control theory (sociology); Control engineering; Fault tolerance; Noise (video); Computer science; Engineering; Control (management); Artificial intelligence; Algorithm; Reliability engineering; Geology","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":[0.00008849582,0.000164111,0.0002081132,0.00005446496,0.0001961711,0.00006267794,0.00008904,0.0000307582,0.00004446856],"category_scores_gemma":[0.000009419579,0.0001291514,0.00004332506,0.00006154522,0.00001842018,0.000061618,0.00002371166,0.0001404245,0.000005203655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533498,"about_ca_system_score_gemma":0.000007169075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004747314,"about_ca_topic_score_gemma":0.00004372504,"domain_scores_codex":[0.9992621,0.00003180799,0.0001765562,0.0001716751,0.0001346253,0.0002232154],"domain_scores_gemma":[0.9996685,0.00008888325,0.00002755057,0.0001286453,0.00002265638,0.00006376645],"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":[0.0006289605,0.0002127264,0.04513277,0.0005130356,0.0005696233,0.00004753087,0.002471435,0.868473,0.002479475,0.0003508573,0.010124,0.06899657],"study_design_scores_gemma":[0.003084222,0.0001915212,0.00130077,0.00001114183,0.0000406588,0.00003220365,0.0001340233,0.9409236,0.0001013554,0.00007068138,0.0538821,0.0002276806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813365,0.001077235,0.01421083,0.0004293619,0.001024636,0.0008420079,0.0002366675,0.0004141749,0.0004286226],"genre_scores_gemma":[0.9990645,0.000008606171,0.00004346297,0.0002340101,0.0001147849,0.0001741829,0.0000166155,0.00004126335,0.0003025547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07245062,"threshold_uncertainty_score":0.526664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006308068189002761,"score_gpt":0.2070115723431845,"score_spread":0.2007035041541818,"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."}}