{"id":"W2277759077","doi":"10.1063/1.4942824","title":"Effects of high-strain-rate deformation on magnetic hysteresis in high-tensile steels","year":2016,"lang":"en","type":"article","venue":"AIP Advances","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science; Strain rate; Microstructure; Coercivity; Ultimate tensile strength; Magnetic hysteresis; Hysteresis; Deformation (meteorology); Composite material; Anisotropy; Strain (injury); Metallurgy; Condensed matter physics; Magnetization; Magnetic field; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002383439,0.0003023127,0.0002635256,0.0002474425,0.0002600786,0.0002885693,0.0002474628,0.0002704235,0.001502366],"category_scores_gemma":[0.0005853645,0.0001900299,0.0002021963,0.0002294533,0.0003585186,0.0002624852,0.0002236975,0.0002669242,0.0001638934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919763,"about_ca_system_score_gemma":0.000113517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279417,"about_ca_topic_score_gemma":0.002185215,"domain_scores_codex":[0.9997578,0.00003439369,0.00001857217,0.00003179659,0.00008583866,0.00007156129],"domain_scores_gemma":[0.9995615,0.0001540084,0.00008530788,0.00005535907,0.00008713607,0.00005672189],"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":[0.0003244726,0.00004196139,0.003668698,0.00003769428,0.00001286349,0.0002052776,0.00005697753,0.001530341,0.9914938,0.00003635638,0.00001537454,0.002576169],"study_design_scores_gemma":[0.00001243203,0.0007668719,0.07605666,0.000005279049,0.00001163631,0.000179829,0.00009501033,0.004831527,0.9177526,0.00003038141,0.0002439815,0.00001385154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992631,0.000106685,0.0003167058,0.0000109781,0.000002736765,0.000004267453,0.00002599261,0.0000125025,0.0002568894],"genre_scores_gemma":[0.9996118,0.00004064848,0.0001323342,0.000004654159,0.000001747762,0.000001635541,0.00003259724,0.000003274085,0.0001713774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001502366,"threshold_uncertainty_score":0.005025923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007993447181265032,"score_gpt":0.2411896580993813,"score_spread":0.2331962109181163,"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."}}