{"id":"W2086563072","doi":"10.3103/s1068375514040036","title":"Dependence of the magnetic properties of micro- and nanowires on their temperature treatment","year":2014,"lang":"en","type":"article","venue":"Surface Engineering and Applied Electrochemistry","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnetostriction; Nanowire; Materials science; Hysteresis; Amorphous solid; Condensed matter physics; Magnetic hysteresis; Constant (computer programming); Composite material; Nanotechnology; Magnetic field; Magnetization; Physics; Crystallography; Chemistry; Computer science","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":[0.00004053427,0.0001613726,0.0001836771,0.000009548207,0.00002481087,0.00001044306,0.00007560907,0.00006400023,0.000002223405],"category_scores_gemma":[0.000007173601,0.0001028596,0.00002954298,0.00005779687,0.0000321533,0.000008586067,0.00001545162,0.0001014217,1.919066e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001259384,"about_ca_system_score_gemma":0.000007842257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002874771,"about_ca_topic_score_gemma":7.205425e-7,"domain_scores_codex":[0.9995369,0.000003312294,0.0001182591,0.0001230983,0.00006747636,0.0001509012],"domain_scores_gemma":[0.9997482,0.00002708462,0.00002052243,0.0001614282,0.000009346201,0.00003343433],"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":[0.000005418038,0.00000955717,0.00003672694,0.0002442508,0.00002706646,6.033025e-8,0.00006921762,0.01772699,0.9813072,0.00008028998,0.000006217527,0.000487026],"study_design_scores_gemma":[0.0001410941,0.00004216385,0.0001795846,0.00008997848,0.000012832,0.000005468963,0.00002753267,0.003585482,0.9955413,0.000007312559,0.0002620161,0.0001052185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968998,0.002584142,0.0000225314,0.00001234735,0.00002355325,0.00007766842,0.000003328897,0.00004313492,0.0003334852],"genre_scores_gemma":[0.9993643,0.0002932081,0.0002184991,0.000003851988,0.00001814126,0.000006842857,7.651761e-7,0.00001931187,0.00007509199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423413,"threshold_uncertainty_score":0.4194494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003120015976550716,"score_gpt":0.1408990057199696,"score_spread":0.1377789897434189,"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."}}