{"id":"W2160587035","doi":"10.1109/naps.2008.5307339","title":"Load carrying capability of wind integrated power systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Electric power system; Renewable energy; Reliability engineering; Probabilistic logic; Base load power plant; Wind speed; Computer science; Automotive engineering; Power (physics); Power system simulation; Environmental science; Engineering; Marine engineering; Distributed generation; Electrical engineering; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002864748,0.0001380567,0.0003008529,0.00003704871,0.00003223435,0.000006896218,0.0001426727,0.00009525492,0.00007126998],"category_scores_gemma":[0.00009378757,0.0001119483,0.00007497219,0.000185784,0.00009163447,0.0001054952,0.00001776307,0.0001265483,0.00004081305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964461,"about_ca_system_score_gemma":0.00006415658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008925125,"about_ca_topic_score_gemma":0.00003870994,"domain_scores_codex":[0.9989945,0.00003440844,0.0003832844,0.0001627374,0.0001966815,0.0002283828],"domain_scores_gemma":[0.9992793,0.00005330737,0.00003197803,0.000385345,0.0001780715,0.00007201331],"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":[0.0002881905,0.001017544,0.164049,0.01077494,0.001390127,0.0003044045,0.03879118,0.4251284,0.2255379,0.02298868,0.1081589,0.001570659],"study_design_scores_gemma":[0.006036001,0.0008618765,0.1017948,0.002806535,0.0001510538,0.001405063,0.01435789,0.250685,0.142839,0.000488069,0.4736758,0.004898867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260938,0.0008029906,0.01095062,0.00001223252,0.0010961,0.0002626276,0.00001733343,0.0003443361,0.06041993],"genre_scores_gemma":[0.9990885,0.00002060216,0.0001465144,0.00000707923,0.00001111134,0.000006704616,0.000001583063,0.00001551448,0.000702419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3655169,"threshold_uncertainty_score":0.4565121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000032455736166,"score_gpt":0.1847601651438484,"score_spread":0.1747598405864867,"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."}}