{"id":"W2026103137","doi":"10.1109/irep.2010.5563301","title":"Probabilistic wind energy modeling for electric generation system reliability assessment","year":2010,"lang":"en","type":"article","venue":"","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Reliability engineering; Probabilistic logic; Reliability (semiconductor); Electric power system; Intermittency; Computer science; Grid; Renewable energy; Engineering; Power (physics); 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":[0.0006288667,0.0001728638,0.0002253698,0.00005690345,0.00009406326,0.00005465962,0.0001491036,0.000147823,0.00001272247],"category_scores_gemma":[0.00008957108,0.0001505937,0.00008886818,0.0001406731,0.00001260574,0.0001459259,0.00001510779,0.0001658072,0.000004936824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510147,"about_ca_system_score_gemma":0.00006786871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007831331,"about_ca_topic_score_gemma":0.0001456666,"domain_scores_codex":[0.9987712,0.00002750014,0.0004059777,0.0003142041,0.0001524346,0.0003287167],"domain_scores_gemma":[0.9991717,0.00007087474,0.00003019016,0.0004552869,0.0001824077,0.00008953234],"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":[0.000007634563,0.00005220752,0.00005755492,0.0007713632,0.0000254177,6.670859e-7,0.00003965118,0.7727996,0.09017433,0.1335398,0.0009943617,0.001537418],"study_design_scores_gemma":[0.0001949101,0.00003542636,0.0000249654,0.0000171541,0.00001583394,0.000007122675,0.00002163028,0.9940635,0.002343209,0.0008485521,0.002239934,0.0001877554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2473865,0.00003657569,0.7438613,0.00004554717,0.001600252,0.000507926,0.000007054137,0.0005392277,0.00601571],"genre_scores_gemma":[0.9920096,0.000004437326,0.007241507,0.00001789113,0.0002998312,0.0002305179,0.00001698324,0.0000306874,0.0001485615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7446231,"threshold_uncertainty_score":0.6141034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049906572119243,"score_gpt":0.2177526985481474,"score_spread":0.2072536328269549,"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."}}