{"id":"W4400351138","doi":"10.1109/intermagshortpapers61879.2024.10577067","title":"Online Permanent Magnet Demagnetization Monitoring Using Model Reference Adaptive System Considering VSI Nonlinearity","year":2024,"lang":"en","type":"article","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Demagnetizing field; Magnet; Nonlinear system; Computer science; Control theory (sociology); Physics; Engineering; Mechanical engineering; Artificial intelligence; Magnetic field","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":[0.0002083981,0.000355037,0.0004058255,0.00021051,0.0002020639,0.000308264,0.0003850376,0.000345654,0.0004650324],"category_scores_gemma":[0.0005920643,0.0001255667,0.0001917943,0.0001862492,0.0001963301,0.0003985849,0.0002658262,0.0003603917,0.0001368569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782645,"about_ca_system_score_gemma":0.0001738681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009225387,"about_ca_topic_score_gemma":0.001173234,"domain_scores_codex":[0.9998603,0.00003143506,0.000007483618,0.00004068884,0.00005238715,0.000007627393],"domain_scores_gemma":[0.9998003,0.00007656637,0.00004061731,0.0000280755,0.00004741119,0.00000703736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004311438,0.0001344198,0.004020732,0.0003591882,0.00009310704,0.0003828334,0.0002986275,0.2636015,0.2363571,0.004114527,0.001421609,0.4887851],"study_design_scores_gemma":[0.00001336006,0.0001469523,0.001261989,0.000009487469,0.00001435358,0.000131519,0.00001529585,0.9807208,0.01621198,0.0005149558,0.0009465378,0.00001271945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1073402,0.0004477689,0.8875297,0.0001818756,0.00006482378,0.00004620322,0.00003204924,0.001186448,0.003170878],"genre_scores_gemma":[0.9621267,0.0001176533,0.03680914,0.00003160083,0.00001939338,0.00002414714,0.0000221552,0.00001529701,0.0008338952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009225387,"threshold_uncertainty_score":0.001834393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05789959619831136,"score_gpt":0.2760114879235321,"score_spread":0.2181118917252207,"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."}}