{"id":"W6891754481","doi":"10.48448/nrpq-ax87","title":"P3-04 Coarse-Graining in Micromagnetic Simulations of Dynamic Hysteresis Loops","year":2020,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scaling; Micromagnetics; Hysteresis; Magnetic hysteresis; Loop (graph theory); Renormalization group; Invariant (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005711156,0.0003774353,0.0004259418,0.00040134,0.0006810472,0.0007208992,0.00113291,0.001248024,0.006994553],"category_scores_gemma":[0.002608987,0.0003556861,0.0004804909,0.0003422825,0.000749119,0.0005665894,0.0007142873,0.0009923148,0.0005366763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023364,"about_ca_system_score_gemma":0.0009620379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262489,"about_ca_topic_score_gemma":0.009751039,"domain_scores_codex":[0.9998342,0.0000584822,0.000006168337,0.0000167307,0.00005859693,0.00002578293],"domain_scores_gemma":[0.9989506,0.0006856724,0.00006786791,0.0001110556,0.0001118935,0.00007285541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009392666,0.0000896099,0.001028939,0.00006933258,0.0000220869,0.00008218206,0.00009869628,0.9783022,0.00367259,0.007977643,0.002154479,0.006408227],"study_design_scores_gemma":[0.00002166236,0.00001306041,0.0001100456,0.000003461994,0.000001694624,0.000002999866,0.000003704379,0.9977784,0.0007172694,0.0007725836,0.0005723161,0.000002843018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6852484,0.00088011,0.2478746,0.002078213,0.0004741735,0.0004601307,0.001717883,0.005524174,0.05574216],"genre_scores_gemma":[0.9182342,0.0001629898,0.07629968,0.0001888818,0.00006736728,0.0003375278,0.0005221734,0.0005999169,0.003587134],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01262489,"threshold_uncertainty_score":0.02510279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299019595929547,"score_gpt":0.3045805266117542,"score_spread":0.2815903306524587,"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."}}