{"id":"W3006888787","doi":"10.1016/j.jmmm.2020.166690","title":"Correlating spin freezing and magnetic properties in [Co/Ni]n/PtMn multilayers","year":2020,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Key Research and Development Program of China; Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"Materials science; Ferromagnetism; Condensed matter physics; Exchange bias; Antiferromagnetism; Magnetization; Crystallite; Phase (matter); Magnetic anisotropy; Magnetic field; Chemistry; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009725924,0.0001182976,0.0001426097,0.0002343797,0.000237745,0.000289506,0.0001703569,0.0001263908,0.0007939814],"category_scores_gemma":[0.0003484096,0.000123388,0.00006916726,0.0001534471,0.0001772761,0.0002157753,0.0001547986,0.0002073363,0.00007908561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665493,"about_ca_system_score_gemma":0.0001003842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00391224,"about_ca_topic_score_gemma":0.004620711,"domain_scores_codex":[0.9999477,0.000003269428,0.000002418575,0.00001109068,0.00001541573,0.00002026366],"domain_scores_gemma":[0.9998958,0.00002172708,0.00003365958,0.000009714189,0.00002663713,0.00001250229],"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":[0.0001648496,0.00001396047,0.002257925,0.00002440163,0.000008624815,0.00006917262,0.0000286687,0.0003689261,0.9957867,0.00007514907,0.00004269827,0.001158888],"study_design_scores_gemma":[0.00000625338,0.00008104644,0.01667411,0.000007064902,0.00002092672,0.0001004044,0.0001104043,0.007874619,0.974746,0.00004613806,0.0003269715,0.000005881498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992114,0.0000662709,0.0003034032,0.000009321852,0.000003104433,0.00000202024,0.00003329077,0.00001996908,0.0003511716],"genre_scores_gemma":[0.9996949,0.00002375883,0.0001253372,0.000002741731,8.872605e-7,0.000001123994,0.00002459399,0.000002953158,0.0001236482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00391224,"threshold_uncertainty_score":0.007778943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667774198723979,"score_gpt":0.2192563405688035,"score_spread":0.2025785985815637,"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."}}