{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006088541,0.0004839007,0.0007385181,0.002506629,0.0001183625,0.0001040532,0.001464123,0.0002537082,0.001517484],"category_scores_gemma":[0.000555397,0.0005038808,0.00009514156,0.004346039,0.002086597,0.000194205,0.0003789419,0.0004455101,0.00109944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381766,"about_ca_system_score_gemma":0.001052256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008641251,"about_ca_topic_score_gemma":0.008903579,"domain_scores_codex":[0.9961687,0.0001307527,0.0007910451,0.001097166,0.001065107,0.0007472083],"domain_scores_gemma":[0.9978688,0.0002132948,0.0006835363,0.0008684509,0.0001313345,0.0002345688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001637278,0.001825606,0.004717227,0.001665689,0.0002748746,0.0003148973,0.007333108,0.02436051,0.8189315,0.003375944,0.08475015,0.05228679],"study_design_scores_gemma":[0.001967702,0.0004227813,0.00138994,0.001510907,0.0001457921,0.00001810631,0.0009832361,0.9669055,0.000438783,0.0007450825,0.0241136,0.001358537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1175146,0.005059037,0.005459676,0.002338837,0.003012743,0.007872942,0.008796004,0.003346046,0.8466001],"genre_scores_gemma":[0.9328239,0.00001647777,0.03054026,0.0001456656,0.00009003904,0.00001246912,0.0002116147,0.0008112246,0.03534834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.942545,"threshold_uncertainty_score":0.9997413,"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."}}