{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034429,0.0007956063,0.0008382885,0.0008449644,0.0001966165,0.0007350995,0.0008397735,0.0006874953,0.002369805],"category_scores_gemma":[0.001089263,0.0002537983,0.0004766865,0.0007554207,0.0004119353,0.001015679,0.0007348337,0.0009640363,0.001112941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006495295,"about_ca_system_score_gemma":0.000632474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003469136,"about_ca_topic_score_gemma":0.003512132,"domain_scores_codex":[0.9997397,0.00003172725,0.00001519673,0.00006005016,0.0001145237,0.00003877367],"domain_scores_gemma":[0.9996631,0.00009988424,0.00004822505,0.00003881139,0.0001276316,0.00002226191],"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":[0.0003016905,0.0001784427,0.00435526,0.0004080205,0.0001139845,0.000188155,0.00006413966,0.2767392,0.01918384,0.01264929,0.01149155,0.6743264],"study_design_scores_gemma":[0.000006663409,0.0000570066,0.0009818787,0.00003292795,0.00002373943,0.00005941598,0.000009764667,0.9777459,0.01032826,0.005628113,0.00510953,0.00001687779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03056461,0.00445051,0.9524594,0.0008486845,0.0003211486,0.00005965165,0.0005628631,0.002980621,0.007752638],"genre_scores_gemma":[0.8294126,0.004741298,0.1483523,0.0007095914,0.00027623,0.00008984429,0.001701545,0.0001706635,0.01454579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003469136,"threshold_uncertainty_score":0.007927716,"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."}}