{"id":"W1986837635","doi":"10.1103/physrevlett.98.097204","title":"Exchange Bias Dependence on Interface Spin Alignment in a<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>Ni</mml:mi><mml:mn>80</mml:mn></mml:msub><mml:msub><mml:mi>Fe</mml:mi><mml:mn>20</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>Ni</mml:mi><mml:mo>,</mml:mo><mml:mi>Fe</mml:mi><mml:mo stretchy=\"false\">)</mml:mo><mml:mi mathvariant=\"normal\">O</mml:mi></mml:math>Thin Film","year":2007,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Exchange bias; Antiferromagnetism; Condensed matter physics; Ferromagnetism; Magnetization; Materials science; Field (mathematics); Spin (aerodynamics); Transmission electron microscopy; Physics; Magnetic field; Nanotechnology; Magnetic anisotropy; Thermodynamics","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.00817798,0.004559705,0.002185608,0.002117825,0.004869791,0.005185909,0.01011807,0.005348681,0.1447583],"category_scores_gemma":[0.004279032,0.008247278,0.007536925,0.004773539,0.005633747,0.004893696,0.008564504,0.008362091,0.01025417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971573,"about_ca_system_score_gemma":0.003825415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008741243,"about_ca_topic_score_gemma":0.003996532,"domain_scores_codex":[0.9626546,0.002707046,0.00793519,0.007622599,0.009288159,0.009792421],"domain_scores_gemma":[0.9735152,0.004990278,0.0082214,0.007561018,0.000785047,0.004927122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004589345,0.002427929,0.00006753538,0.006911232,0.005570677,0.003934816,0.004447069,0.005265763,0.008815732,0.4609724,0.4839085,0.01308898],"study_design_scores_gemma":[0.006685205,0.006119925,0.0001137453,0.0115726,0.006552543,0.002482685,0.00431087,0.01747105,0.9051387,0.006433213,0.02464454,0.008474967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8397096,0.01450246,0.003573789,0.006874795,0.01079021,0.0006888912,0.003698057,0.001412777,0.1187494],"genre_scores_gemma":[0.9556211,0.007793301,0.004499942,0.01004608,0.007576796,0.005717236,0.004807376,0.003386983,0.0005511428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8963229,"threshold_uncertainty_score":0.999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110283964358483,"score_gpt":0.2543959390655937,"score_spread":0.2332930994220088,"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."}}