{"id":"W4415889820","doi":"10.1088/1361-6501/ae1b25","title":"MD-Transformer: a noise-oriented lightweight bearing fault diagnosis model","year":2025,"lang":"","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Tianjin City","keywords":"Convolution (computer science); Bearing (navigation); Separable space; Pooling; Fault (geology); Noise (video); Representation (politics); Feature (linguistics); Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003439739,0.0007184127,0.0007584313,0.003690112,0.001041541,0.0002557887,0.001496702,0.0006239821,0.00003619701],"category_scores_gemma":[0.001510326,0.000722434,0.000114987,0.007139517,0.00176082,0.0007496474,0.0004290281,0.0009873413,0.0000215611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545178,"about_ca_system_score_gemma":0.0008529997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018477,"about_ca_topic_score_gemma":0.000184716,"domain_scores_codex":[0.9937505,0.00003250392,0.0009325871,0.001450255,0.002311893,0.001522291],"domain_scores_gemma":[0.9965473,0.00005431359,0.0001309266,0.001130145,0.001889683,0.0002476738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004005944,0.001072003,0.05604128,0.001081422,0.0003874055,0.00003155405,0.0006887006,0.002635766,0.4845428,0.1600607,0.01634693,0.2770714],"study_design_scores_gemma":[0.0008985092,0.0002135217,0.0006863959,0.001128147,0.000236808,0.000008377198,0.0001641641,0.1462378,0.7983234,0.00878582,0.04244525,0.0008718161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4582218,0.04454363,0.3538293,0.03843778,0.002991263,0.006833069,0.00008728974,0.008417302,0.08663858],"genre_scores_gemma":[0.9842464,0.008946442,0.005415115,0.0002474229,0.00002982715,0.001001321,0.000001403924,0.00004651749,0.00006554811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5260246,"threshold_uncertainty_score":0.9995227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494218764340766,"score_gpt":0.2659611617409673,"score_spread":0.2510189740975596,"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."}}