{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003573366,0.00008496467,0.0001070578,0.00003707967,0.00002503078,0.00002808746,0.00007580582,0.00005730868,0.00002782451],"category_scores_gemma":[0.000007717223,0.00007887681,0.00004031076,0.00007608505,0.000001743576,0.00007397102,8.119337e-7,0.00002146963,0.00001035879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000434192,"about_ca_system_score_gemma":0.000007334417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005291702,"about_ca_topic_score_gemma":0.0001005427,"domain_scores_codex":[0.9995482,0.000006510071,0.0001409691,0.0000843112,0.00005692407,0.0001630672],"domain_scores_gemma":[0.9997451,0.00002151809,0.00001374004,0.0001540307,0.00002427237,0.00004131662],"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":[0.00001071548,0.00001208276,0.00007658015,0.000003648934,0.00003722529,3.668471e-7,0.00003012512,0.04422277,0.8529558,0.003403843,0.08241011,0.01683675],"study_design_scores_gemma":[0.000828687,0.00006454754,0.001292335,0.000007596569,0.00001777091,0.000001141539,0.0000170126,0.2929541,0.6350212,0.004769402,0.06474899,0.0002772682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1580608,0.002909882,0.8015587,0.0004893069,0.001098165,0.0004283466,0.00002590809,0.001602789,0.03382604],"genre_scores_gemma":[0.9967105,0.000009557813,0.001679992,0.0001139582,0.0004459545,0.00003268454,0.00005635639,0.00001520548,0.0009358338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8386496,"threshold_uncertainty_score":0.3216503,"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."}}