{"id":"W2889391733","doi":"10.1063/1.5020160","title":"Strain effects on the magnetic order of epitaxial FeRh thin films","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Agencia Nacional de Promoción Científica y Tecnológica; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Materials science; Condensed matter physics; Ferromagnetic resonance; Ferromagnetism; Magnetic anisotropy; Magnetization; Antiferromagnetism; Thin film; Epitaxy; Substrate (aquarium); Anisotropy; Magnetic shape-memory alloy; Magnetic field; Composite material; Nanotechnology; Optics; Layer (electronics); Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003203567,0.0001923446,0.0003228276,0.00003180548,0.0000983316,0.00004022557,0.000514376,0.00004062267,0.001038315],"category_scores_gemma":[0.00001747213,0.0001192976,0.0001559436,0.000166054,0.0001971024,0.00005222311,0.00008210322,0.0003824678,0.00007575058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001122603,"about_ca_system_score_gemma":0.00009420972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282304,"about_ca_topic_score_gemma":3.127682e-7,"domain_scores_codex":[0.9987691,0.00004896873,0.0004039321,0.0001285602,0.0004177513,0.000231675],"domain_scores_gemma":[0.9987002,0.0002100138,0.0004810717,0.0003418731,0.0001925177,0.00007433142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001217795,0.001287873,0.0004597432,0.0001735346,0.0007942427,0.00000648529,0.005035848,0.003554831,0.2681596,0.3713895,0.06002191,0.2878987],"study_design_scores_gemma":[0.004343889,0.005033493,0.002436667,0.0003623017,0.0003995218,0.000004907728,0.001653782,0.006882389,0.7030059,0.2640644,0.01098886,0.0008239192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658218,0.00006545031,0.002371032,0.0004626417,0.0008246621,0.0004959903,0.00003559321,0.00001335939,0.1299094],"genre_scores_gemma":[0.9951719,0.000001211206,0.002653584,0.000284466,0.001626224,0.000007170492,0.000002127371,0.00002524802,0.0002280514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4348463,"threshold_uncertainty_score":0.9998749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891151455346021,"score_gpt":0.2131660127664264,"score_spread":0.2042544982129662,"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."}}