{"id":"W3163074083","doi":"10.1016/j.matchar.2021.111200","title":"Angular magnetic Barkhausen noise of incline- and cross-rolled non-oriented electrical steel sheets","year":2021,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of Toronto; Natural Resources Canada","funders":"Office of Energy Research and Development","keywords":"Materials science; Barkhausen effect; Electron backscatter diffraction; Electrical steel; Remanence; Magnetocrystalline anisotropy; Residual stress; Ferromagnetism; Anisotropy; Magnetic hysteresis; Carbon steel; Composite material; Magnetic anisotropy; Metallurgy; Nuclear magnetic resonance; Condensed matter physics; Magnetization; Microstructure; Magnetic field; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002584756,0.0001693116,0.0003504719,0.0000580134,0.0001274543,0.0001844355,0.0001358888,0.0001076234,0.003800004],"category_scores_gemma":[0.0001146587,0.0001535518,0.00002993664,0.0002332435,0.0001014137,0.0001822464,0.0001675641,0.00004015212,0.00005421158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001753824,"about_ca_system_score_gemma":0.00006742976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002390727,"about_ca_topic_score_gemma":0.000001385792,"domain_scores_codex":[0.9984516,0.0001094113,0.0005877514,0.0003865566,0.0002163114,0.0002483498],"domain_scores_gemma":[0.9990745,0.00002814902,0.0002121365,0.0003507715,0.0002488515,0.00008557989],"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":[0.00009444667,0.0000996824,0.0005625368,0.00008487642,0.000003599956,0.000004229252,0.0001365159,0.000002053484,0.9978454,0.0003119423,0.00001596629,0.0008387715],"study_design_scores_gemma":[0.0006327613,0.00009828139,0.1354886,0.00002882094,0.0000232869,0.00001231488,0.00001048906,0.0003691578,0.8619593,0.00003397137,0.001193708,0.0001493305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976064,0.00008515782,0.001006402,0.0001927534,0.0003057868,0.0003743607,0.0002101095,0.00005061787,0.0001684291],"genre_scores_gemma":[0.9974428,0.0001129867,0.0009622116,0.0001508313,0.0001459895,0.00008137696,0.0004049178,0.000025096,0.0006737628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358861,"threshold_uncertainty_score":0.9971107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309411831799143,"score_gpt":0.228753589428997,"score_spread":0.2224441775971978,"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."}}