{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399384,0.00008912406,0.0001808249,0.00004347343,0.00007496173,0.00003446177,0.000171003,0.00004073104,0.00003806864],"category_scores_gemma":[0.0002232905,0.0000555053,0.00002446912,0.0001885876,0.0001190528,0.00003506604,0.0001063177,0.00007921148,0.00001292718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000162437,"about_ca_system_score_gemma":0.00002951423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704183,"about_ca_topic_score_gemma":0.00006865977,"domain_scores_codex":[0.9990416,0.00007966506,0.000315885,0.0002164068,0.000159605,0.0001868133],"domain_scores_gemma":[0.9993454,0.0002267019,0.00005514954,0.0002744313,0.00005775016,0.00004055421],"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":[0.00007049758,0.00009508654,0.0002519193,0.00001609274,0.00000339632,7.625059e-7,0.00004303702,0.00008623009,0.9799635,0.01636874,0.00007229633,0.003028374],"study_design_scores_gemma":[0.001001563,0.0004761824,0.1215802,0.00009605895,0.00004115686,0.000001943838,0.0001517932,0.005104709,0.8675848,0.000605084,0.003202111,0.0001543664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977687,0.0004684662,0.00005519714,0.0008207251,0.00004633614,0.0003841055,0.00001089864,0.00001075906,0.0004348227],"genre_scores_gemma":[0.998727,0.0000727126,0.000103495,0.000172294,0.000007906296,0.0001009543,7.891887e-7,0.000003765482,0.0008110748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1213283,"threshold_uncertainty_score":0.226344,"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."}}