{"id":"W2118372964","doi":"10.1109/tmag.2009.2012661","title":"The Implications of the Use of Composite Materials in Electromagnetic Device Topology and Shape Optimization","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Topology optimization; Network topology; Topology (electrical circuits); Computer science; Task (project management); Sensitivity (control systems); Materials science; Composite number; Mechanical engineering; Electronic engineering; Electrical engineering; Finite element method; Composite material; Systems engineering; Structural engineering; Engineering","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":[0.0009594164,0.0003472827,0.0002317993,0.0003246401,0.0003095271,0.0005973268,0.0002951183,0.0004848661,0.0007378524],"category_scores_gemma":[0.002642583,0.0002751978,0.0002308441,0.000197286,0.0007756293,0.0009647452,0.0004077072,0.0005314567,0.0001740194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760271,"about_ca_system_score_gemma":0.0002362162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000287982,"about_ca_topic_score_gemma":0.0005636205,"domain_scores_codex":[0.9996545,0.0001559626,0.00001281731,0.0000341594,0.0001276964,0.00001470905],"domain_scores_gemma":[0.998664,0.001026232,0.00008052654,0.0001124249,0.00009197684,0.00002478003],"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":[0.0001043816,0.0001015713,0.001986677,0.0002334854,0.00003296723,0.0002037912,0.0001106971,0.7060645,0.07339907,0.1144897,0.0006574002,0.1026158],"study_design_scores_gemma":[0.00001241455,0.0001545848,0.0008903517,0.000027687,0.00001877066,0.0003269887,0.0000451561,0.8914644,0.03964589,0.06210929,0.005279422,0.00002518195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1644938,0.00236657,0.8024104,0.001792101,0.0001284424,0.00005827169,0.00004537874,0.0001738357,0.02853132],"genre_scores_gemma":[0.8902009,0.001313639,0.1061107,0.0001441569,0.00003787074,0.00004078742,0.00002245326,0.00006868227,0.002060722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009594164,"threshold_uncertainty_score":0.005073905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212269034765841,"score_gpt":0.2154274467217679,"score_spread":0.2033047563741095,"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."}}