{"id":"W2154085986","doi":"10.1109/iemdc.2011.5994865","title":"Generator selection for rural electrification from renewable energy","year":2011,"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":"Hydro-Québec; Concordia University","keywords":"Rural electrification; Electrification; Generator (circuit theory); Renewable energy; Selection (genetic algorithm); Computer science; Electricity generation; Engineering; Power (physics); Electrical engineering; Electricity; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004473165,0.00008886812,0.0001006358,0.00004597034,0.00003324601,0.00001698428,0.00006634618,0.00007116554,0.0001218057],"category_scores_gemma":[0.000007724297,0.00008490538,0.00003818835,0.00009282472,0.000002648832,0.0001038327,0.000001586571,0.00002587795,0.00001819382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005623775,"about_ca_system_score_gemma":0.00001060011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244218,"about_ca_topic_score_gemma":0.0009229353,"domain_scores_codex":[0.9995276,0.00001028733,0.0001486717,0.0000983627,0.00005115305,0.0001638628],"domain_scores_gemma":[0.9997646,0.00001645955,0.00001941012,0.0001141215,0.00004514161,0.00004031174],"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":[0.00002413285,0.00001581152,0.0008275653,0.000008790815,0.00007922975,1.09976e-7,0.00009554916,0.005330244,0.9569396,0.001606659,0.03254907,0.002523173],"study_design_scores_gemma":[0.0004325881,0.00003993133,0.0008757802,0.000003800463,0.00001746005,0.00000128978,0.00001610219,0.2854476,0.6921459,0.0008884362,0.01996839,0.0001627842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08015797,0.0005120612,0.8975711,0.0000175294,0.0007888286,0.0002547716,0.00001115184,0.0008984763,0.01978811],"genre_scores_gemma":[0.9944583,0.000006905584,0.003042024,0.00002670336,0.0004089532,0.0001459545,0.00003833006,0.00002951069,0.001843287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9143004,"threshold_uncertainty_score":0.7927724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124919691049173,"score_gpt":0.1713698633896429,"score_spread":0.1588778942847256,"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."}}