{"id":"W7154694618","doi":"10.1590/2179-10742025v24i4298301","title":"Optimal Design and Simulation of an Axial Flux Machine for Unmanned Aerial Vehicles","year":2025,"lang":"en","type":"article","venue":"Journal of Microwaves Optoelectronics and Electromagnetic Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Stator; Magnet; Finite element method; Power (physics); Optimal design; Work (physics); Magnetic flux; Flux (metallurgy)","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":[0.0003873468,0.000372182,0.0004311841,0.0004535881,0.000390254,0.0006024219,0.0004065884,0.0008984827,0.003092572],"category_scores_gemma":[0.0006898055,0.0002439063,0.000388302,0.0001892839,0.0003973335,0.0002506657,0.0002723119,0.0002799728,0.0002801698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005653059,"about_ca_system_score_gemma":0.0007244512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005418472,"about_ca_topic_score_gemma":0.004494062,"domain_scores_codex":[0.9998944,0.0000331423,0.00000370242,0.00001265352,0.00003479547,0.000021319],"domain_scores_gemma":[0.9997364,0.0001305079,0.00004600731,0.00001477277,0.00005559691,0.00001668583],"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":[0.00003233103,0.0000222085,0.0003784884,0.00003299235,0.000005247882,0.00004114616,0.00001970747,0.9945524,0.001353654,0.001110118,0.0001289785,0.002322672],"study_design_scores_gemma":[0.000006833778,0.00002596771,0.0001024653,0.000002800298,0.000001620938,0.000003009982,0.000009139627,0.9990382,0.0003405508,0.0001467203,0.000321351,0.000001320662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4672534,0.0004256465,0.4949834,0.0004074921,0.0001275204,0.0002679541,0.0003647713,0.000679229,0.03549069],"genre_scores_gemma":[0.9642365,0.00007413425,0.03235148,0.00001683234,0.000004889203,0.0001354293,0.00007593232,0.00002270115,0.003082042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005418472,"threshold_uncertainty_score":0.0107739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005361844775617295,"score_gpt":0.2343517922974626,"score_spread":0.2289899475218453,"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."}}