{"id":"W2744945350","doi":"","title":"牽引応用のための埋込型永久磁石電動機トポロジーの設計と比較【Powered by NICT】","year":2017,"lang":"ja","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Systems engineering; Aerospace engineering; Aeronautics; 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":[0.00040417,0.0002272751,0.0002389779,0.0004818495,0.001023808,0.001346181,0.0004610436,0.00047024,0.007445969],"category_scores_gemma":[0.000934333,0.0001917179,0.00015756,0.0004330796,0.0007702986,0.0009687947,0.0006261214,0.0005726879,0.003398111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008099913,"about_ca_system_score_gemma":0.0006964798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822794,"about_ca_topic_score_gemma":0.002026031,"domain_scores_codex":[0.999604,0.00003824124,0.00002860304,0.00007521237,0.0002049292,0.00004901085],"domain_scores_gemma":[0.9995573,0.00006060562,0.00004254446,0.0000584017,0.0002537648,0.00002734493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005923118,0.0001718409,0.008690924,0.0006293305,0.00009465681,0.001515662,0.002514628,0.004998263,0.428927,0.1911576,0.02575344,0.3349543],"study_design_scores_gemma":[0.00002898773,0.0001916563,0.007123087,0.0001336626,0.0001014802,0.001789014,0.001841987,0.01399287,0.6094489,0.02323325,0.3420181,0.00009703752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3107625,0.004563473,0.1086671,0.002301913,0.001800201,0.0002764653,0.0008194256,0.001026128,0.5697829],"genre_scores_gemma":[0.8634349,0.002478967,0.03548151,0.000518889,0.0002951644,0.0002611084,0.0006117623,0.0001897159,0.09672805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007445969,"threshold_uncertainty_score":0.0249092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158001711011656,"score_gpt":0.2330213387536565,"score_spread":0.2214413216435399,"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."}}