{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002696764,0.0001748137,0.0003254868,0.000142748,0.00009226403,0.0003573169,0.000602203,0.00009204135,0.000003090724],"category_scores_gemma":[0.00003090812,0.00015601,0.0001388427,0.00002088702,0.00005070613,0.0003667729,0.00003287648,0.0002903519,0.00000112736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522183,"about_ca_system_score_gemma":0.00002014105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004316488,"about_ca_topic_score_gemma":0.00002276429,"domain_scores_codex":[0.9988495,0.00001364018,0.0004661987,0.0001179077,0.0003735915,0.0001791541],"domain_scores_gemma":[0.9990302,0.0000438893,0.000343228,0.0001851859,0.0002821642,0.0001153639],"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":[0.000541218,0.0002422279,0.01637999,0.00009310096,0.003637692,0.0002561982,0.0002581453,0.9187198,0.002398481,0.02773255,0.001754274,0.02798636],"study_design_scores_gemma":[0.002627273,0.00004444641,0.0006434465,0.00004718782,0.000051149,0.0002407892,0.00004079052,0.9947681,0.000007929038,0.00108934,0.0002883392,0.0001511434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2728523,0.001580015,0.718274,0.001159359,0.001774615,0.0001554118,0.0002191155,0.00003049514,0.003954728],"genre_scores_gemma":[0.9985594,0.0001424788,0.0006346636,0.00004589336,0.0004336421,0.000002448717,0.00001437262,0.00003018148,0.000136951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7257071,"threshold_uncertainty_score":0.6361905,"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."}}