{"id":"W2154085691","doi":"10.1109/pes.2011.6038947","title":"Model validation for wind turbine generator models","year":2011,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Turbine; Wind power; Computer science; Generator (circuit theory); Work (physics); Task (project management); Stability (learning theory); Control engineering; Model validation; Reliability engineering; Power (physics); Systems engineering; Engineering; Aerospace engineering; Machine learning; Mechanical engineering; Electrical engineering; Data science","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":[0.006310936,0.001178062,0.001108543,0.0008210361,0.0008657797,0.001515537,0.001717328,0.001343508,0.004214807],"category_scores_gemma":[0.01951026,0.0005730756,0.001771988,0.0006280635,0.0007473564,0.001900941,0.001532253,0.002181221,0.001087018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008998369,"about_ca_system_score_gemma":0.002026467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005048831,"about_ca_topic_score_gemma":0.003828026,"domain_scores_codex":[0.9957622,0.002256083,0.0003244059,0.0003488561,0.001119897,0.0001886979],"domain_scores_gemma":[0.9912738,0.004193058,0.0004480978,0.002203548,0.001794723,0.000086771],"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":[0.0001554822,0.0001169217,0.002367201,0.0004721352,0.0001752165,0.0001409614,0.0001194677,0.9348983,0.006361686,0.01658349,0.003589276,0.03501989],"study_design_scores_gemma":[0.00003481339,0.00007101877,0.0004973909,0.0001032619,0.00003598586,0.00004155534,0.00003316488,0.9775538,0.00835519,0.00672752,0.006524592,0.00002174601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04086036,0.0005697223,0.9468445,0.0003454344,0.0002649429,0.0002504782,0.0011227,0.003548151,0.006193694],"genre_scores_gemma":[0.7868206,0.001009046,0.1956443,0.0003683693,0.00008001147,0.000743909,0.007809971,0.001974701,0.005549188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006310936,"threshold_uncertainty_score":0.03337586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630952514754001,"score_gpt":0.2240581264702322,"score_spread":0.1609628749948321,"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."}}