{"id":"W4291449359","doi":"10.3390/machines10080690","title":"Deep Learning-Based Machinery Fault Diagnostics","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Deep learning; Artificial intelligence; Fault (geology); Computer science; Machine learning; Geology; Seismology","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":[0.0001273686,0.0001377798,0.000147983,0.00009941778,0.00023909,0.00003405348,0.0001409708,0.00002948509,0.000578276],"category_scores_gemma":[0.00006864293,0.0001370136,0.00007752165,0.000190797,0.00001068528,0.00002963712,0.00003271963,0.0003560849,0.00007359481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000591817,"about_ca_system_score_gemma":0.000006052102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000928957,"about_ca_topic_score_gemma":0.00006997611,"domain_scores_codex":[0.99923,0.00008615264,0.00016742,0.0001280788,0.0002007539,0.0001875596],"domain_scores_gemma":[0.9996455,0.0001130398,0.00002503659,0.0001473103,0.00001242004,0.00005666364],"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":[0.000009507461,0.0000174188,0.004662496,0.00002462818,0.00001904645,0.00001585745,0.00007806427,0.9776334,0.0004642851,0.00003554961,0.001513026,0.0155267],"study_design_scores_gemma":[0.0003625123,0.00004563298,0.001254093,0.000002334878,0.000008472849,0.00001174836,0.00004738176,0.838462,0.0000527294,0.00002553998,0.1595817,0.0001458934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8556035,0.01213915,0.07648904,0.000997822,0.01074025,0.0009760128,0.00009072689,0.007186178,0.03577736],"genre_scores_gemma":[0.9986006,0.00001440124,0.00004099417,0.0001890002,0.0001593698,0.0001425381,0.00002882147,0.00004374152,0.0007805537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580686,"threshold_uncertainty_score":0.6331717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004495935453382951,"score_gpt":0.2001375392283772,"score_spread":0.1956416037749942,"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."}}