{"id":"W2074343594","doi":"10.1016/j.jmmm.2014.11.050","title":"Influence of annealing treatment on micro/macro-texture and texture dependent magnetic properties in cold rolled FeCo–7.15V alloy","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science; Electron backscatter diffraction; Annealing (glass); Microstructure; Ferromagnetism; Scanning electron microscope; Grain boundary; Magnetometer; Alloy; Diffraction; Magnetic hysteresis; Metallurgy; Composite material; Condensed matter physics; Magnetic field; Magnetization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003737641,0.0003360435,0.0007521871,0.0001744166,0.0000449322,0.00009174465,0.0001773455,0.0002003533,0.0001972901],"category_scores_gemma":[0.00005890746,0.0002335901,0.00005541305,0.00006380011,0.00009167954,0.0001356246,0.00005835604,0.0001684571,0.000003443408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003391497,"about_ca_system_score_gemma":0.0000239183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007497242,"about_ca_topic_score_gemma":0.00003419899,"domain_scores_codex":[0.9982824,0.0001120517,0.0008504367,0.0002165855,0.0002153765,0.000323183],"domain_scores_gemma":[0.9993091,0.00006317527,0.0001985814,0.000196242,0.00007981677,0.0001530741],"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":[0.0002913532,0.00004821492,0.00006687241,0.00044257,0.00001962332,0.00002589561,0.0003745417,0.002038637,0.9828819,0.00008736796,0.0001026559,0.01362036],"study_design_scores_gemma":[0.006210964,0.008299904,0.01096826,0.001067117,0.0001889538,0.0004085506,0.0001478001,0.0004392429,0.9643298,0.0005615612,0.006774026,0.0006038317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851325,0.01383822,0.000008519031,0.0001255239,0.0002539341,0.0003954136,0.00002622785,0.00001822348,0.0002014797],"genre_scores_gemma":[0.9944863,0.00448384,0.0003868679,0.0001341444,0.0001254422,0.00001203722,0.000001445024,0.00003501842,0.0003348913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01855212,"threshold_uncertainty_score":0.9525527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091918886852134,"score_gpt":0.1756426906454139,"score_spread":0.1705507717585618,"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."}}