{"id":"W3153707196","doi":"10.1016/j.apenergy.2021.116881","title":"Damping characteristics analysis of hydropower units under full operating conditions and control parameters: Accurate quantitative evaluation based on refined models","year":2021,"lang":"en","type":"article","venue":"Applied Energy","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Hubei Province; Bureau of Science and Technology of Zhoushan; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Hydropower; Renewable energy; Control theory (sociology); Mode (computer interface); Grid; Engineering; Power (physics); Electric power system; Turbine; Control engineering; Computer science; Control (management); Mechanical engineering; Mathematics; 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":[0.0002939456,0.0004242367,0.0004739219,0.0003952009,0.0001930239,0.0004121448,0.0005051678,0.0004060506,0.0009717196],"category_scores_gemma":[0.001042008,0.0002486904,0.0004142809,0.0002252453,0.0003661969,0.0006288862,0.0002957379,0.0004027929,0.0001979882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448355,"about_ca_system_score_gemma":0.0003057842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003269268,"about_ca_topic_score_gemma":0.001958437,"domain_scores_codex":[0.9998951,0.0000252826,0.000004624525,0.00001584513,0.0000455228,0.00001359973],"domain_scores_gemma":[0.9996313,0.0001933212,0.00004739419,0.00006505083,0.00005328625,0.000009652451],"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":[0.0000918645,0.00002937642,0.0007084674,0.00006661586,0.0000111607,0.00004467334,0.00009636419,0.9695261,0.01561939,0.00216708,0.000170452,0.01146854],"study_design_scores_gemma":[0.000003411677,0.00001728653,0.0003209498,0.000002462091,0.000002125556,0.000005762865,0.000006440509,0.997961,0.001251836,0.0003332776,0.00009273134,0.000002680488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4888885,0.0003181724,0.5029479,0.00008084328,0.00001680527,0.00007676158,0.0002706448,0.0006338811,0.00676654],"genre_scores_gemma":[0.9939925,0.00005817257,0.005267771,0.000004947267,0.000002601106,0.0000303054,0.00005123108,0.00002998886,0.0005623774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003269268,"threshold_uncertainty_score":0.006500423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112818956372427,"score_gpt":0.2729737630681853,"score_spread":0.231845573504461,"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."}}