{"id":"W3176461943","doi":"10.1021/acsami.1c04780","title":"Epitaxy Induced Highly Ordered Sm<sub>2</sub>Co<sub>17</sub>–SmCo<sub>5</sub> Nanoscale Thin-Film Magnets","year":2021,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Deutscher Akademischer Austauschdienst; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Materials science; Coercivity; Magnet; Magnetocrystalline anisotropy; Nanoscopic scale; Microstructure; Magnetization; Thin film; Ferromagnetism; Magnetic anisotropy; Condensed matter physics; Nanocomposite; Nanotechnology; Composite material; Magnetic field; Mechanical engineering","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001848806,0.001719771,0.002153634,0.0003689216,0.0007342972,0.001983003,0.002490414,0.001044886,0.002292647],"category_scores_gemma":[0.0004770534,0.001640789,0.0001733284,0.0006295544,0.0007406181,0.0009282816,0.002205657,0.0006698614,0.00719592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133919,"about_ca_system_score_gemma":0.0005766331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639768,"about_ca_topic_score_gemma":0.0002861812,"domain_scores_codex":[0.9897503,0.0006813253,0.002553288,0.002843197,0.001680458,0.002491383],"domain_scores_gemma":[0.9946927,0.0003692179,0.001181096,0.002558628,0.0006090885,0.0005892112],"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":[0.0007924703,0.0004582847,0.000005588454,0.0004241752,0.000130338,0.0001391543,0.001071123,0.0001195189,0.9771741,0.0005151491,0.0160765,0.003093587],"study_design_scores_gemma":[0.002056758,0.0005892079,0.0002987359,0.0002912817,0.0002010933,0.0001039897,0.0005603918,0.0000113691,0.991415,0.001552209,0.0010002,0.001919714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855409,0.000918311,0.00003771382,0.001355178,0.004133867,0.001826315,0.0005377034,0.001050414,0.004599562],"genre_scores_gemma":[0.994504,0.0006988351,0.0007456505,0.001633391,0.0007988191,0.0007291415,0.0002449239,0.0003639293,0.0002813046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0150763,"threshold_uncertainty_score":0.9995549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372450540448255,"score_gpt":0.2224770055040239,"score_spread":0.2087525000995413,"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."}}