{"id":"W1956480840","doi":"10.1007/978-0-387-92907-1_2","title":"Fault Detection and Diagnosis","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fault detection and isolation; Robustness (evolution); Identification (biology); Computer science; Fault (geology); Engineering; Isolation (microbiology); Artificial intelligence; Control engineering; Machine learning","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":[0.0002388925,0.0002033976,0.0002603506,0.0003459077,0.0001220996,0.0002137641,0.00007385555,0.0002535885,0.00002048294],"category_scores_gemma":[0.00007218422,0.0001671018,0.00003776737,0.00007819694,0.00009445816,0.0008278204,0.000007686041,0.0002360565,0.00001476707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003651213,"about_ca_system_score_gemma":0.00001171229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003037451,"about_ca_topic_score_gemma":0.0002126246,"domain_scores_codex":[0.9991481,0.0000097157,0.0003487106,0.0001285889,0.0002087667,0.0001560665],"domain_scores_gemma":[0.9995956,0.000155142,0.00008694837,0.00007524927,0.0000345573,0.0000525127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009581195,8.896081e-7,0.00004284978,0.00004210325,0.00001198801,4.670685e-7,0.0001968002,0.00942133,0.00006128694,0.0007001638,0.00001650774,0.9894961],"study_design_scores_gemma":[0.001515204,0.0002757965,0.00095602,0.0002168094,0.00003597932,0.00004901217,0.00002523827,0.5790452,0.0002612404,0.009077152,0.4079252,0.0006171995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006578583,0.02543993,0.2139933,0.002713099,0.003288176,0.00279557,0.0001232968,0.001186232,0.7438818],"genre_scores_gemma":[0.997828,0.001147881,0.00003457315,0.0006560448,0.00009730383,0.00003001803,0.000002435917,0.000006471932,0.0001972948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9912494,"threshold_uncertainty_score":0.6814213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006610028305218659,"score_gpt":0.2033574863856011,"score_spread":0.1967474580803825,"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."}}