{"id":"W2169388385","doi":"10.1109/epec.2009.5420978","title":"Generators for rural electrification from renewable energy","year":2009,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Rural electrification; Induction generator; Renewable energy; Electrification; MATLAB; Generator (circuit theory); Transient (computer programming); Computer science; Wind power; Electric power system; Control engineering; Automotive engineering; Power (physics); Electrical engineering; Electricity; 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":[0.00007422877,0.0003680498,0.0003473107,0.0001435455,0.0001628593,0.0003191744,0.0003397064,0.0004342754,0.004961134],"category_scores_gemma":[0.000157317,0.0001462981,0.000218995,0.0002486311,0.0001671984,0.0004444696,0.0002619557,0.0004660633,0.001098698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368975,"about_ca_system_score_gemma":0.0002123279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004239138,"about_ca_topic_score_gemma":0.001118198,"domain_scores_codex":[0.9999474,0.00002034533,0.000001957202,0.000007730187,0.000018987,0.000003639904],"domain_scores_gemma":[0.9999678,0.00001183041,0.000004239392,0.000004569049,0.000008467272,0.000002982059],"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":[0.0001001404,0.000073025,0.0007024591,0.0004453029,0.00004287963,0.0006081919,0.0001693383,0.695072,0.01872584,0.1374595,0.008720396,0.1378809],"study_design_scores_gemma":[0.00006363766,0.0002005786,0.0006076759,0.00007288576,0.00002445168,0.0005409155,0.00007977469,0.7748771,0.004302164,0.06386437,0.1553418,0.00002467847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02119639,0.003006382,0.931998,0.0008193767,0.0001795466,0.0001288906,0.000263532,0.001037025,0.04137092],"genre_scores_gemma":[0.7800419,0.004736463,0.1547286,0.0001971552,0.0001096321,0.0002560707,0.000589559,0.0002206855,0.05911997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004961134,"threshold_uncertainty_score":0.01659662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004654062413078303,"score_gpt":0.1751644643254603,"score_spread":0.170510401912382,"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."}}