{"id":"W4404458457","doi":"10.1080/10589759.2024.2426705","title":"Development of compact smart bearing and novel hybrid feature assessment for weak defect identification","year":2024,"lang":"en","type":"article","venue":"Nondestructive Testing And Evaluation","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Feature (linguistics); Bearing (navigation); Pattern recognition (psychology); Computer science; Artificial intelligence; Materials science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168665,0.0001183426,0.0001261905,0.0001247814,0.0001019455,0.00007719409,0.00003559287,0.0000387914,0.000002297488],"category_scores_gemma":[0.0003386015,0.0001187289,0.00002216466,0.0001222328,0.0000227634,0.0001532089,0.00001447519,0.0001246272,3.217392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360651,"about_ca_system_score_gemma":0.00005880676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001199349,"about_ca_topic_score_gemma":0.00000697817,"domain_scores_codex":[0.999273,0.00002441421,0.0002054632,0.0002023552,0.0001899463,0.0001048418],"domain_scores_gemma":[0.9992711,0.000428722,0.00004686348,0.00007987364,0.0001437692,0.00002965901],"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":[0.000006776076,0.00002951971,0.02234322,0.001083866,0.0001451469,2.717634e-7,0.0007746084,0.002346965,0.4589894,0.00101208,0.0003204588,0.5129476],"study_design_scores_gemma":[0.0001990694,0.00003033927,0.3185033,0.0002765243,0.00008786907,0.00001418054,0.00005247827,0.6456648,0.03246202,0.002483204,0.00009762996,0.0001285871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083189,0.0002971833,0.08977298,0.00002247608,0.0001179843,0.0005288998,0.00001677317,0.0002665589,0.0006582142],"genre_scores_gemma":[0.8157398,0.000003897222,0.1840811,0.000001551179,0.00002798065,0.00008838233,0.00003506412,0.0000179242,0.000004252915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6433178,"threshold_uncertainty_score":0.4841624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955859451468345,"score_gpt":0.3624212272297104,"score_spread":0.312862632715027,"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."}}