{"id":"W939874036","doi":"10.1016/j.apm.2015.07.006","title":"Analytical modeling of eddy current brakes with the application of time varying magnetic fields","year":2015,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Eddy current; Eddy current brake; Mechanics; Current (fluid); Physics; Computer science; Mechanical engineering; Control theory (sociology); Engineering; Electrical engineering; Artificial intelligence","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":[0.0003155596,0.0005789155,0.0004949897,0.0004687591,0.0003107207,0.0009119714,0.000924841,0.0008765679,0.001894307],"category_scores_gemma":[0.001078549,0.0003059682,0.0004340746,0.0004283369,0.0005611717,0.0009585676,0.000299648,0.0004507441,0.0004618299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447932,"about_ca_system_score_gemma":0.0005886363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056399,"about_ca_topic_score_gemma":0.002219057,"domain_scores_codex":[0.9998462,0.00004546868,0.000007936365,0.00002008675,0.00006562199,0.00001452186],"domain_scores_gemma":[0.9997531,0.00009308675,0.00004150843,0.00002307632,0.00007947726,0.000009855432],"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":[0.00004994619,0.00004490378,0.0002833525,0.0002232261,0.00002295669,0.0001727501,0.0001388039,0.9043295,0.01490745,0.05540766,0.0009640822,0.02345541],"study_design_scores_gemma":[0.000002281922,0.00001356687,0.00008335592,0.000008775633,0.000004532149,0.00003579374,0.00001018548,0.9941818,0.0009996664,0.003109683,0.001546025,0.000004219097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02298447,0.001295533,0.9589179,0.0002097241,0.0001559119,0.00004636789,0.00004432534,0.0002005671,0.01614518],"genre_scores_gemma":[0.9084596,0.002302454,0.06304124,0.0000722902,0.00009058381,0.00009161417,0.00008442695,0.000100582,0.02575718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002056399,"threshold_uncertainty_score":0.006337047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566165512075781,"score_gpt":0.2234285217697587,"score_spread":0.1977668666490009,"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."}}