{"id":"W4398769495","doi":"10.1016/j.knosys.2024.111999","title":"Deep temporal–spectral domain adaptation for bearing fault diagnosis","year":2024,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Convolutional neural network; Normalization (sociology); Deep 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003150363,0.0005069359,0.000416145,0.0003577736,0.0001711141,0.0003397318,0.0004948537,0.000555679,0.001871273],"category_scores_gemma":[0.000938083,0.0001707475,0.0003745203,0.0004146951,0.0002144066,0.0005983094,0.0005201701,0.0009039079,0.0006126092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813983,"about_ca_system_score_gemma":0.000477944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033613,"about_ca_topic_score_gemma":0.005456515,"domain_scores_codex":[0.9998887,0.0000178861,0.000006057708,0.00003261825,0.00003202682,0.00002271691],"domain_scores_gemma":[0.9997243,0.0001259982,0.00002614047,0.00004066019,0.00006949318,0.00001339108],"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":[0.0002301119,0.0001475298,0.0009243787,0.00008138859,0.00006075393,0.0001068494,0.00005179663,0.2327514,0.02804975,0.003706071,0.005129714,0.7287603],"study_design_scores_gemma":[0.000002096249,0.00001848762,0.0004117602,0.000003838913,0.000007373395,0.00002076821,0.000006167674,0.9932749,0.003618626,0.002011506,0.0006207319,0.000003616861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03663914,0.0007533799,0.9588032,0.0002779545,0.0001347189,0.00002102089,0.0001543067,0.001271071,0.001945082],"genre_scores_gemma":[0.8701273,0.0004742081,0.1222437,0.0002513576,0.0001006799,0.00003019591,0.0005143706,0.00009140725,0.006166699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005033613,"threshold_uncertainty_score":0.01000863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836072008603921,"score_gpt":0.2827193726097089,"score_spread":0.2643586525236697,"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."}}