{"id":"W2153991772","doi":"10.1109/tec.2003.822293","title":"Cost-Effective Wind Energy Utilization for Reliable Power Supply","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Reliability engineering; Reliability (semiconductor); Electric power system; Probabilistic logic; Computer science; Engineering; Automotive 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":[0.0003538182,0.0005375614,0.0004724838,0.000605209,0.0003391369,0.0006809864,0.0004180143,0.0003078707,0.002258344],"category_scores_gemma":[0.001623275,0.0002883314,0.0002316926,0.0005885359,0.0001943234,0.0009323615,0.0003781311,0.0003079849,0.0003929411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623805,"about_ca_system_score_gemma":0.000633079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005808951,"about_ca_topic_score_gemma":0.00184578,"domain_scores_codex":[0.9996481,0.00009787286,0.00001641525,0.00002418059,0.000172421,0.00004094218],"domain_scores_gemma":[0.9996206,0.0001624459,0.00006026168,0.00004075371,0.0001009867,0.00001498613],"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":[0.0001602663,0.00006651881,0.00159269,0.0001056396,0.00002507754,0.0002513664,0.00003857546,0.8433062,0.01802173,0.0208684,0.001568247,0.1139953],"study_design_scores_gemma":[0.00003266977,0.0001217183,0.0008515255,0.00002008637,0.00002531169,0.0001256243,0.00002696255,0.9819399,0.005620798,0.008930087,0.002291146,0.00001417484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2226125,0.00118366,0.7484841,0.0005100174,0.00008145368,0.0001498283,0.0001823958,0.001038694,0.02575755],"genre_scores_gemma":[0.9692801,0.0002677105,0.02948649,0.00001432997,0.00001884449,0.00004286943,0.00006355032,0.00003963224,0.000786481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002258344,"threshold_uncertainty_score":0.007554889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135003558490306,"score_gpt":0.2185861255398744,"score_spread":0.2050857696908438,"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."}}