{"id":"W4287848459","doi":"10.1109/isie51582.2022.9831643","title":"Monte Carlo Study of Jiles-Atherton Parameters on Hysteresis Area and Remnant Displacement","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Monte Carlo method; Hysteresis; Displacement (psychology); Parameter space; Statistical physics; Physics; Mathematics; Statistics; Condensed matter 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756538,0.0002213763,0.0004031311,0.0005954167,0.0004303712,0.0003212806,0.0004534618,0.0004740633,0.0008050872],"category_scores_gemma":[0.006977015,0.0002100683,0.0003059571,0.0004061996,0.0005625509,0.0005691937,0.0002117484,0.0004303035,0.00006152997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220526,"about_ca_system_score_gemma":0.0003848643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184761,"about_ca_topic_score_gemma":0.002721804,"domain_scores_codex":[0.9996719,0.0001210133,0.00001376226,0.00005209775,0.00008872629,0.00005247993],"domain_scores_gemma":[0.9922781,0.006492594,0.0003807573,0.0003990695,0.0003691256,0.00008023826],"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":[0.0002410074,0.0001078791,0.009638932,0.0001026891,0.00004975447,0.0001646441,0.0001670013,0.9516048,0.01140695,0.01661799,0.0004390827,0.009459148],"study_design_scores_gemma":[0.000007631186,0.00005118323,0.001500592,0.000007869387,0.00001042061,0.00003189702,0.0000277962,0.9933,0.003658175,0.001200337,0.0001938763,0.00001022317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613901,0.0003353229,0.03552169,0.0001127464,0.0000105146,0.00003228596,0.00005900591,0.00009370277,0.002444718],"genre_scores_gemma":[0.9931772,0.00005736354,0.006416942,0.00001314456,0.000002342126,0.00002734802,0.00004904196,0.00001734013,0.0002392521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184761,"threshold_uncertainty_score":0.009289563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172920988139794,"score_gpt":0.2181723443950831,"score_spread":0.2008802455811037,"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."}}