{"id":"W1980141074","doi":"10.1109/ccece.2013.6567702","title":"Reliability evaluation incorporating the load following capability of wind generation","year":2013,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Reliability engineering; Reliability (semiconductor); Wind speed; Environmental science; Electric power system; Computer science; Meteorology; Engineering; Power (physics); Electrical 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":[0.0009729244,0.0002934481,0.0002513698,0.0008343224,0.0001502887,0.0002797401,0.0001613394,0.0001909074,0.0004715905],"category_scores_gemma":[0.003111417,0.0001165315,0.0002136976,0.0004452462,0.0001455382,0.0005840445,0.0002023859,0.0001898052,0.0000959183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011265,"about_ca_system_score_gemma":0.0002501849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489058,"about_ca_topic_score_gemma":0.003290361,"domain_scores_codex":[0.9996025,0.0001715442,0.00002511434,0.00002526829,0.0001471567,0.0000284328],"domain_scores_gemma":[0.9981483,0.000914939,0.0002111593,0.0001434176,0.0005427249,0.00003941062],"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":[0.0003641826,0.0001203719,0.05819978,0.0001483678,0.00009297417,0.0004077383,0.000256236,0.7159086,0.04194026,0.003565752,0.0007535862,0.178242],"study_design_scores_gemma":[0.000006043045,0.0003868117,0.03325832,0.00001348916,0.00003704209,0.0001762206,0.00008009191,0.9556557,0.008735416,0.001060152,0.0005675709,0.00002322766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217748,0.0002287827,0.1724628,0.00004033705,0.0000136537,0.00005834439,0.0001310915,0.0001929695,0.005097218],"genre_scores_gemma":[0.9938159,0.00004870015,0.005795486,0.000001988271,0.000003344597,0.000008245903,0.00005932805,0.000008678434,0.0002583368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489058,"threshold_uncertainty_score":0.005145371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169929140277388,"score_gpt":0.2287702651361056,"score_spread":0.2117773511083668,"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."}}