{"id":"W3088227701","doi":"10.1007/s10853-020-05168-3","title":"Tracing the recrystallization of warm temper-rolled Fe–6.5 wt% Si non-oriented electrical steel using a quasi in situ EBSD technique","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Natural Resources Canada","funders":"","keywords":"Materials science; Electron backscatter diffraction; Recrystallization (geology); In situ; Metallurgy; Solid mechanics; Electrical steel; Tracing; Microstructure; Composite material; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002708153,0.0001285159,0.0003712493,0.0001453767,0.0002047005,0.0001556595,0.0007306556,0.00005530443,0.0001070144],"category_scores_gemma":[0.0005617149,0.00008097883,0.00005087841,0.001051524,0.0003055727,0.0004020347,0.0001311404,0.0001218605,0.000003760729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018048,"about_ca_system_score_gemma":0.0004698814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000608077,"about_ca_topic_score_gemma":0.000004592971,"domain_scores_codex":[0.9977341,0.0001537837,0.0009549353,0.0002351708,0.0006273814,0.0002945921],"domain_scores_gemma":[0.9985309,0.00007248929,0.0007313538,0.0002049291,0.0003453731,0.0001149207],"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":[0.0001236545,0.0000774045,0.00002843492,0.0000323336,0.000001331956,0.000003773699,0.0008334093,0.0004658425,0.9980929,0.0001784612,0.00001917798,0.0001433018],"study_design_scores_gemma":[0.0003492452,0.0003283977,0.0003060832,0.0001134946,0.0000142425,0.00005555585,0.0002893929,0.002794507,0.9954112,0.0001115489,0.0001291102,0.00009719118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758497,0.00005326219,0.02245303,0.0008895035,0.0001750337,0.0004543306,0.00000520481,0.00001144509,0.0001084262],"genre_scores_gemma":[0.9909332,0.000024514,0.008748125,0.0001471668,0.0001128511,0.00001508657,3.323435e-7,0.000009663575,0.000009110292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508339,"threshold_uncertainty_score":0.3302221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613360429141971,"score_gpt":0.2708039278435478,"score_spread":0.2446703235521281,"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."}}