{"id":"W4407937785","doi":"10.1109/tim.2025.3545512","title":"A Novel Lightweight Rotating Mechanical Fault Diagnosis Framework With Adaptive Residual Enhancement and Multigroup Coordinate Attention","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Residual; Group (periodic table); Fault (geology); Computer science; Materials science; Control engineering; Engineering; Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004198978,0.0009582484,0.0007660044,0.0005825623,0.0002246583,0.0004880565,0.001289375,0.0006556226,0.001666371],"category_scores_gemma":[0.0008583684,0.0002566563,0.0006466521,0.0003510855,0.0003943088,0.0009319826,0.001047842,0.0008698389,0.0005557675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409945,"about_ca_system_score_gemma":0.0009683362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005235063,"about_ca_topic_score_gemma":0.007457516,"domain_scores_codex":[0.9997454,0.00002714394,0.00001137993,0.00007381191,0.00009544268,0.00004680218],"domain_scores_gemma":[0.9997801,0.00005439194,0.00003583989,0.00003272297,0.00007300308,0.00002385604],"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":[0.0004008608,0.0001632241,0.001852388,0.0001546345,0.00009013259,0.0003362096,0.0001057132,0.2109548,0.06687997,0.005911564,0.006280923,0.7068695],"study_design_scores_gemma":[0.00002246101,0.0001194013,0.0005064013,0.000008256531,0.00002834797,0.000176897,0.00001608253,0.9834548,0.01168158,0.002025368,0.001948136,0.00001224262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008625329,0.0002657954,0.9887727,0.0001168255,0.00004573553,0.0000430589,0.00004512499,0.001311313,0.0007742118],"genre_scores_gemma":[0.570666,0.0004946779,0.4210564,0.0005427076,0.0001430331,0.0001400413,0.0005236138,0.0001613422,0.006272215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005235063,"threshold_uncertainty_score":0.01040924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808645312942364,"score_gpt":0.2329273490833187,"score_spread":0.2148408959538951,"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."}}