{"id":"W3016181214","doi":"10.1109/access.2020.2980433","title":"IEEE Access Special Section: Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Aerospace; Fault tolerance; Spacecraft; Special section; Computer science; Component (thermodynamics); Systems engineering; Event (particle physics); Automation; Reliability engineering; Engineering; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001439174,0.0002858671,0.0006012095,0.0001513134,0.00004756707,0.0002505188,0.0003699081,0.0001527256,0.00003125927],"category_scores_gemma":[0.00005452376,0.00028878,0.00007048639,0.0005821212,0.00002563332,0.001004175,0.00002685414,0.0002924281,0.000006774176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009851255,"about_ca_system_score_gemma":0.00001584788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391053,"about_ca_topic_score_gemma":0.0002278912,"domain_scores_codex":[0.9984013,0.0000541263,0.000583905,0.0003345096,0.0002944929,0.0003316964],"domain_scores_gemma":[0.9993134,0.0001291597,0.0001180536,0.0001833438,0.00008347169,0.0001725434],"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":[0.0001006687,0.0000280187,0.006813239,0.0007706903,0.00007589583,0.00002148039,0.0003870994,0.97858,0.004773002,0.00001764267,0.001157066,0.007275218],"study_design_scores_gemma":[0.00374129,0.0001217731,0.002889689,0.0003988445,0.00004939176,0.00002118686,0.0002554577,0.8293393,0.01576494,0.000004152767,0.1467581,0.0006558766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111152,0.01707398,0.04646046,0.0005559532,0.02075581,0.00181279,0.00009669788,0.0007047476,0.001424339],"genre_scores_gemma":[0.9929112,0.003416715,0.000007581497,0.00007591894,0.003236277,0.0002930632,0.000001667651,0.00004719568,0.00001036016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1492407,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745947463696905,"score_gpt":0.2538360896226798,"score_spread":0.2363766149857108,"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."}}