{"id":"W3127460143","doi":"10.1109/tste.2021.3057854","title":"Weighted Dynamic Aggregation Modeling of Induction Machine-Based Wind Farms","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind speed; Wind power; Induction generator; Control theory (sociology); Turbine; Transient (computer programming); Computer science; Scale (ratio); Environmental science; Engineering; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001109917,0.0002266833,0.0002833725,0.0003762858,0.0001259186,0.00003639428,0.0001028581,0.0001766013,0.00007174362],"category_scores_gemma":[0.00000576781,0.0002487784,0.0001468776,0.0007113109,0.00002009634,0.0002429685,9.02155e-7,0.0002243657,0.000004134502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003929857,"about_ca_system_score_gemma":0.0001381111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238371,"about_ca_topic_score_gemma":0.0001630896,"domain_scores_codex":[0.9986616,0.00006650704,0.0004004591,0.0002594712,0.0002586739,0.0003532408],"domain_scores_gemma":[0.9991364,0.00004652046,0.00005536327,0.0003620525,0.000319953,0.00007963865],"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":[0.00003209417,0.00007802589,0.000003233755,0.0001511706,0.00008454074,0.00003004129,0.00006401331,0.9838437,0.008242858,0.0002613902,0.0000106526,0.00719829],"study_design_scores_gemma":[0.0008471851,0.00004117802,0.000006563699,0.00005405244,0.00004954581,0.00001286931,0.0004114093,0.9115694,0.08581313,0.0003084504,0.0006727862,0.0002134868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09811286,0.0005038151,0.8992044,0.00007858876,0.0006520312,0.0001182722,0.00001520017,0.0002736342,0.001041186],"genre_scores_gemma":[0.9973429,0.00004307434,0.0003180769,0.00002377925,0.00005051939,0.00004576182,0.00002941263,0.0000677843,0.002078724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.89923,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005593204040732793,"score_gpt":0.1911531114658698,"score_spread":0.185559907425137,"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."}}