{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968079,0.0002828079,0.0002175506,0.0003957483,0.0002566489,0.0003886394,0.0002512982,0.0003609966,0.004724966],"category_scores_gemma":[0.001847797,0.0001276067,0.0002016863,0.0003694325,0.0002589347,0.0007860895,0.0002684388,0.0003351759,0.0003244878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179771,"about_ca_system_score_gemma":0.0001539045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008414949,"about_ca_topic_score_gemma":0.001487515,"domain_scores_codex":[0.9998702,0.0000387412,0.000006040525,0.00001225454,0.00004831294,0.00002441901],"domain_scores_gemma":[0.9991991,0.0003980327,0.00007693639,0.00008528412,0.0002044791,0.00003610502],"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":[0.003515215,0.0005361319,0.03772335,0.0005569871,0.0003213957,0.001887467,0.000237827,0.4617634,0.06459459,0.07951314,0.006055369,0.3432951],"study_design_scores_gemma":[0.0004740925,0.002649441,0.2226509,0.0002645606,0.0009168391,0.003128336,0.000938618,0.4991778,0.03806947,0.2083991,0.02319506,0.0001358055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333178,0.002082615,0.01691069,0.001417535,0.0001949866,0.00001883959,0.0004294334,0.0001792827,0.04544876],"genre_scores_gemma":[0.9981859,0.0002091199,0.0004845135,0.00001911415,0.000032873,0.00000184925,0.00004805846,0.00001056429,0.001007968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004724966,"threshold_uncertainty_score":0.01580662,"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."}}