{"id":"W2183585508","doi":"10.1109/icece.2006.355643","title":"Simplified Modeling of Rectifier-Coupled Brushless DC Generators","year":2006,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Generator (circuit theory); Computer science; Rectifier (neural networks); Control engineering; Power (physics); Engineering; Control (management); Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002293516,0.0005908486,0.0008463523,0.0003901318,0.0004805134,0.00108244,0.001809081,0.001501854,0.009398346],"category_scores_gemma":[0.0004514621,0.0004318589,0.0007005582,0.0004531872,0.0005352392,0.001133986,0.0005250559,0.0008715317,0.001960445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006095928,"about_ca_system_score_gemma":0.000549397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004504205,"about_ca_topic_score_gemma":0.002694369,"domain_scores_codex":[0.9997643,0.00005968042,0.00001380554,0.00004651295,0.00009967737,0.00001607256],"domain_scores_gemma":[0.9998797,0.00003278102,0.00001722161,0.00002081732,0.00003945068,0.00001005641],"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":[0.00007347507,0.00003936015,0.0002474598,0.0001590967,0.00002498257,0.0003187371,0.000156154,0.944847,0.009141152,0.0272814,0.001522882,0.01618825],"study_design_scores_gemma":[0.00001472625,0.000036382,0.00009980183,0.000009284788,0.000008157618,0.00004587805,0.00001838029,0.9907091,0.0008948086,0.003306811,0.004848679,0.000008064932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03162276,0.0005915254,0.8873141,0.000320505,0.0002080297,0.0002410208,0.0006255623,0.00112769,0.07794885],"genre_scores_gemma":[0.870238,0.001146232,0.0669907,0.0001832276,0.00008741538,0.0004121824,0.0004964643,0.0002269509,0.06021875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009398346,"threshold_uncertainty_score":0.03144056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781820817977739,"score_gpt":0.2326348609526362,"score_spread":0.1948166527728588,"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."}}