{"id":"W4221099834","doi":"10.1049/elp2.12184","title":"Calculation, simulation and fast estimation of thermal resistance of rotary voice coil actuators","year":2022,"lang":"en","type":"article","venue":"IET Electric Power Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voice coil; Actuator; Electromagnetic coil; Thermal; Control theory (sociology); Thermal resistance; Engineering; Computer science; Mechanical engineering; Acoustics; Control engineering; Electrical engineering; Physics; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422283,0.00009277982,0.000153782,0.0002000158,0.000113688,0.00000595733,0.0001048214,0.00003361949,0.00003913458],"category_scores_gemma":[0.00001395828,0.0001067409,0.00004617676,0.001213263,0.00001818657,0.00007081671,0.00001336395,0.0001109141,0.000001713744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006955679,"about_ca_system_score_gemma":0.00002987157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145732,"about_ca_topic_score_gemma":0.000002550785,"domain_scores_codex":[0.999188,0.00003505306,0.0002965021,0.0001392728,0.000216597,0.0001245437],"domain_scores_gemma":[0.9994547,0.0001327663,0.0001099519,0.000202879,0.00006516972,0.00003456222],"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":[0.0000147325,0.00006647632,0.000384137,0.00004849545,0.00008298567,2.089738e-7,0.0003165002,0.9107988,0.03146169,0.001187225,0.0003037577,0.05533503],"study_design_scores_gemma":[0.000176544,0.00003274762,0.005009837,0.000004058445,0.00006519674,0.00000103607,0.00001208964,0.9882068,0.003720238,0.0006584577,0.001988191,0.0001248167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2376153,0.001370041,0.7593755,0.00004695064,0.00001639926,0.0004369063,0.00003329168,0.0001056277,0.001000039],"genre_scores_gemma":[0.9980621,0.00003172061,0.001554933,0.00001009601,0.00001083394,0.0001733211,0.00003340995,0.0000170126,0.0001066012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7604468,"threshold_uncertainty_score":0.4352767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004838921796133075,"score_gpt":0.2191630366937396,"score_spread":0.2143241148976065,"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."}}