{"id":"W2778489686","doi":"10.1007/s40435-017-0390-y","title":"Wind turbine dynamics modelling by a bond graph approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Renewable Energy Laboratory; Mitacs; Alberta Innovates - Technology Futures","keywords":"Bond graph; Turbine; Wind power; Backlash; Computer science; Uniqueness; Mechanical engineering; Control engineering; Engineering; Control theory (sociology); Control (management); Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002604917,0.0007491919,0.0009581622,0.0005403332,0.0004511143,0.0007840848,0.001156654,0.001430798,0.004836641],"category_scores_gemma":[0.0008004103,0.0006660948,0.0008176847,0.0006042833,0.0005022139,0.001346273,0.0006977857,0.001165125,0.001246477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391571,"about_ca_system_score_gemma":0.0005364022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006385291,"about_ca_topic_score_gemma":0.004765721,"domain_scores_codex":[0.9998263,0.0000654148,0.000008703551,0.00003760227,0.00004639957,0.00001563837],"domain_scores_gemma":[0.9996994,0.0001553961,0.00004553355,0.00003152977,0.00005011457,0.00001804971],"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":[0.0000111683,0.00001316783,0.0001179935,0.00001966872,0.00001864779,0.00004148644,0.00001632054,0.9804761,0.0006988256,0.01443165,0.0002064415,0.0039485],"study_design_scores_gemma":[0.000002078968,0.000005618014,0.00002925672,0.000002102067,0.000004012135,0.000004154071,0.00000233724,0.9947369,0.00008780203,0.004797515,0.0003258525,0.000002400899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0118729,0.0002412227,0.9808373,0.0001252329,0.00005964893,0.00002992209,0.0001629005,0.0002847931,0.006386067],"genre_scores_gemma":[0.8812094,0.001442595,0.094861,0.0001261642,0.0001167605,0.000265954,0.0005676775,0.0003303761,0.02108017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006385291,"threshold_uncertainty_score":0.01618022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005191458356731877,"score_gpt":0.1984400939234262,"score_spread":0.1932486355666943,"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."}}