{"id":"W2010396856","doi":"10.1063/1.3087748","title":"Nonlinear electromagnetic response of ferromagnetic metals: Magnetoimpedance in microwires","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Condensed matter physics; Harmonics; Nonlinear system; Ferromagnetism; Materials science; Magnetization; Giant magnetoimpedance; Anisotropy; Magnetic anisotropy; Maxwell's equations; Ferromagnetic resonance; Amorphous solid; Physics; Magnetoresistance; Giant magnetoresistance; Magnetic field; Voltage; Classical mechanics; Optics; Chemistry","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":[0.0003592651,0.0001797318,0.0004740448,0.0001164625,0.00001360167,0.00001749861,0.0002471687,0.00005933415,0.00003353026],"category_scores_gemma":[0.00001626577,0.0001656165,0.0001376803,0.0003486194,0.00003206797,0.00008030696,0.000011042,0.0002899271,0.000006706572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000418414,"about_ca_system_score_gemma":0.00005555764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002017872,"about_ca_topic_score_gemma":0.000001464912,"domain_scores_codex":[0.9987281,0.00003041453,0.0006210926,0.00009957646,0.0002620078,0.0002587991],"domain_scores_gemma":[0.9993837,0.00009412217,0.0002012833,0.0001909265,0.00005781948,0.0000721773],"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":[0.000332137,0.0001328099,0.000007554366,0.00003562504,0.00002732948,0.00002310067,0.0001505376,0.0932179,0.902146,0.0003240607,0.0002039547,0.003398956],"study_design_scores_gemma":[0.004113779,0.00382902,0.02036006,0.000222407,0.0002404787,0.000145558,0.0002046147,0.1566033,0.7972376,0.01104701,0.00515119,0.0008449141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968212,0.001081367,0.0003563099,0.00002886078,0.00008296115,0.0001012685,0.000002850828,0.00001864729,0.001506513],"genre_scores_gemma":[0.9890767,0.0002749535,0.01038175,0.00005637338,0.0001452609,0.000001551939,8.578765e-7,0.00002500479,0.00003755754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049084,"threshold_uncertainty_score":0.6753643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879835906547962,"score_gpt":0.2158686177643671,"score_spread":0.2079887818578191,"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."}}