{"id":"W2529500821","doi":"10.1088/0953-8984/28/48/486004","title":"Interface mixing and its impact on exchange coupling in exchange biased systems","year":2016,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; National Science Council; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Exchange bias; Materials science; Coupling (piping); Condensed matter physics; Interface (matter); Magnetism; Ferrite (magnet); Stoichiometry; Exchange interaction; Ferromagnetism; Metallurgy; Chemistry; Magnetic anisotropy; Composite material; Magnetic field; Magnetization; Physics; Physical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003209283,0.0002109648,0.0003769869,0.0001131947,0.00003519975,0.00008205605,0.000193508,0.0000407564,0.0009343851],"category_scores_gemma":[0.000009414296,0.0001287716,0.0001161679,0.00007144855,0.00003289285,0.0002854319,0.00007607215,0.0002260829,0.0001084452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000684487,"about_ca_system_score_gemma":0.00003517577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004637708,"about_ca_topic_score_gemma":5.37604e-7,"domain_scores_codex":[0.998862,0.00005264478,0.0004056064,0.0001631341,0.0002341611,0.0002823979],"domain_scores_gemma":[0.9990559,0.0001469237,0.000390187,0.0001733044,0.0001226779,0.0001110699],"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":[0.001482109,0.0009557756,0.09440143,0.0009474451,0.0009215768,0.0001010665,0.004309595,0.00460787,0.812501,0.001666989,0.0507935,0.02731165],"study_design_scores_gemma":[0.05145361,0.006909712,0.07206446,0.0255084,0.0007796991,0.0002321904,0.003817953,0.0611704,0.7466639,0.01456614,0.01089199,0.005941496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957392,0.0006041858,0.001502659,0.0006381604,0.0004006472,0.0001724771,0.00002484844,0.000006296808,0.0009115107],"genre_scores_gemma":[0.9982138,0.000009493971,0.00003587747,0.0001183669,0.0005332343,0.000006312072,6.916282e-7,0.00003145639,0.001050761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06583704,"threshold_uncertainty_score":0.9999789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068717196621324,"score_gpt":0.2680960646424496,"score_spread":0.2474088926762364,"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."}}