{"id":"W2069197775","doi":"10.1016/j.renene.2010.12.011","title":"Energy and reliability benefits of wind energy conversion systems","year":2011,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Reliability (semiconductor); Turbine; Reliability engineering; Renewable energy; Electric potential energy; Engineering; Energy (signal processing); Power (physics); Environmental science; Meteorology; Statistics; Electrical engineering; Mathematics; Mechanical engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000239247,0.0002612202,0.0004680643,0.0001187369,0.00005548435,0.00001609054,0.0002267334,0.0002318692,0.00004517144],"category_scores_gemma":[0.00002497955,0.0002478826,0.00008575813,0.0002307682,0.0001111289,0.0001961479,0.00008777776,0.00004817219,0.000001404146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008761811,"about_ca_system_score_gemma":0.00003396788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05002159,"about_ca_topic_score_gemma":0.0007414506,"domain_scores_codex":[0.9984506,0.00007938687,0.0004936591,0.0003687671,0.0002151781,0.0003924346],"domain_scores_gemma":[0.9989262,0.00008019186,0.0001020884,0.0005877737,0.0001225349,0.0001812588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001366016,0.0002625832,0.001931022,0.001246798,0.0001850659,0.00001675746,0.0005324028,0.9165419,0.007599975,0.05886951,0.008759446,0.003917911],"study_design_scores_gemma":[0.00160629,0.000541961,0.001348675,0.0008563204,0.0001117718,0.00009475065,0.0004050023,0.1674001,0.3528796,0.003222388,0.4701864,0.001346722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4148788,0.0482427,0.2550956,0.00005070013,0.008524442,0.0003305313,0.0001525956,0.001513212,0.2712115],"genre_scores_gemma":[0.9954033,0.002044593,0.0001950496,0.00002748191,0.00008259856,0.00001810139,0.00001164287,0.000041083,0.002176081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491418,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00953827965995236,"score_gpt":0.1651680535378365,"score_spread":0.1556297738778842,"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."}}