{"id":"W4405587476","doi":"10.1088/1361-6501/ada178","title":"Advancing machine fault diagnosis: a detailed examination of convolutional neural networks","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Convolutional neural network; Computer science; Fault (geology); Artificial intelligence; Artificial neural network; 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":[0.001004065,0.0005169777,0.0003181827,0.00132627,0.0001543977,0.0009791674,0.0004711654,0.000656808,0.001258081],"category_scores_gemma":[0.002261534,0.0003450324,0.0003901818,0.0008699222,0.0004684803,0.001664291,0.0004873619,0.0009567614,0.000287921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109755,"about_ca_system_score_gemma":0.000871479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518334,"about_ca_topic_score_gemma":0.003760657,"domain_scores_codex":[0.999732,0.00005694969,0.00002193674,0.00003660263,0.0001253246,0.00002715044],"domain_scores_gemma":[0.9991531,0.0004862053,0.00005644067,0.00003381779,0.0002506127,0.00001974769],"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":[0.00008819831,0.00008717201,0.005502956,0.006974766,0.0002290452,0.0004868066,0.0003229986,0.06894585,0.01095588,0.1675976,0.01370817,0.7251005],"study_design_scores_gemma":[0.00001861612,0.0005700269,0.01491669,0.00862005,0.0003334174,0.001540581,0.0003443613,0.3077246,0.02117216,0.1732488,0.4713831,0.000127596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03069953,0.8223565,0.1014099,0.007507263,0.0007429643,0.0001075458,0.0002411739,0.0002226539,0.03671255],"genre_scores_gemma":[0.2342774,0.7207192,0.03643338,0.00130959,0.0008166836,0.00005587676,0.0002461642,0.00004558237,0.006096162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003518334,"threshold_uncertainty_score":0.008051813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009878361562521962,"score_gpt":0.2133160419905766,"score_spread":0.2034376804280547,"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."}}