{"id":"W4410819261","doi":"10.3390/met15060600","title":"The Dual Influence of Silicon Content and Mechanical Stress on Magnetic Barkhausen Noise in Non-Oriented Electrical Steel","year":2025,"lang":"en","type":"article","venue":"Metals","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Royal Military College of Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Barkhausen effect; Electrical steel; Materials science; Stress (linguistics); Silicon; Dual (grammatical number); Metallurgy; Noise (video); Composite material; Magnetic field; Magnetization; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001816513,0.0003068735,0.0001551904,0.0002268733,0.0001195787,0.0001829633,0.0001282561,0.0002448691,0.0005412411],"category_scores_gemma":[0.0003433979,0.0001635668,0.0001495197,0.0001357018,0.0002766272,0.0001564644,0.0001237242,0.0001698344,0.0001108145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466318,"about_ca_system_score_gemma":0.00007725094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008597267,"about_ca_topic_score_gemma":0.002315872,"domain_scores_codex":[0.9997903,0.00002598624,0.00001313737,0.00003741854,0.0001061793,0.00002707114],"domain_scores_gemma":[0.9996387,0.0001094581,0.00007397871,0.0000210326,0.000133607,0.00002323332],"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":[0.00005752996,0.000006390761,0.000728313,0.00003171857,0.000003587409,0.00004909249,0.00003286219,0.0002391023,0.9975064,0.00001126683,0.00001300268,0.001320633],"study_design_scores_gemma":[0.000005774778,0.0003358189,0.04014041,0.000008282226,0.00001597213,0.00009729005,0.0001621008,0.002279161,0.9564572,0.00003592205,0.0004510884,0.00001098579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983711,0.0001928614,0.0008114883,0.00001207601,0.000007798009,0.000004802368,0.00003413809,0.00001047516,0.0005553446],"genre_scores_gemma":[0.9987679,0.0001312179,0.0004173171,0.00002044479,0.000003232469,0.000004770979,0.00006543598,0.000007097181,0.000582513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008597267,"threshold_uncertainty_score":0.00181061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340203522199506,"score_gpt":0.2428091456796811,"score_spread":0.2294071104576861,"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."}}