{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002814652,0.0005787411,0.0004651313,0.00033644,0.001743006,0.0002004759,0.0007851008,0.000892868,0.0003778106],"category_scores_gemma":[0.000009825775,0.0007044611,0.0002873601,0.000297099,0.0003377327,0.0009533026,2.937797e-8,0.001217045,0.000347169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199362,"about_ca_system_score_gemma":0.00009886266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482879,"about_ca_topic_score_gemma":0.0005890909,"domain_scores_codex":[0.9972548,0.00006971366,0.0008523731,0.0007639122,0.000411502,0.0006476282],"domain_scores_gemma":[0.9977378,0.00009140096,0.0003186099,0.001515561,0.0001638006,0.0001728057],"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":[0.0005371114,0.001193517,0.0001167991,0.0003922363,0.0009068808,0.00002349467,0.003219253,0.01458068,0.8977652,0.01352359,0.004916113,0.06282508],"study_design_scores_gemma":[0.002118335,0.000512043,0.007765651,0.0001450329,0.0005011555,0.00000603541,0.0004892575,0.00355008,0.9783275,0.002648334,0.002787749,0.001148835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1191296,0.002847135,0.8538966,0.002577627,0.002993481,0.001606162,0.001789169,0.001701417,0.01345885],"genre_scores_gemma":[0.9917129,0.004951225,0.0003379581,0.00006112882,0.00006175039,0.0002058704,0.0002778818,0.0001008518,0.002290493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725832,"threshold_uncertainty_score":0.9995566,"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."}}