{"id":"W7074169122","doi":"","title":"Wind turbine condition monitoring based on SCADA data using normal behavior models:Part 1: System description","year":2013,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Condition monitoring; Turbine; SCADA; Wind power; Deformation monitoring; Control system","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009218336,0.0003984121,0.001041346,0.0006822143,0.0005457462,0.00006218014,0.001893819,0.0005206853,0.003829952],"category_scores_gemma":[0.00008669968,0.0005526913,0.00038116,0.0006444101,0.0008827599,0.001702206,0.001185888,0.000528769,0.001426384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000916467,"about_ca_system_score_gemma":0.0001008698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179687,"about_ca_topic_score_gemma":0.0001000789,"domain_scores_codex":[0.997096,0.00007640611,0.0007322058,0.001198606,0.0002880686,0.0006087262],"domain_scores_gemma":[0.9969328,0.0001768809,0.0009091903,0.001433919,0.0002446471,0.0003025596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007153944,0.01437049,0.2051476,0.003552561,0.003114457,0.001720984,0.001747299,0.05941693,0.03019058,0.1722633,0.4932108,0.008111038],"study_design_scores_gemma":[0.02811786,0.002987094,0.2820069,0.004729622,0.002989207,0.0002550296,0.02496792,0.5457904,0.001913147,0.003604694,0.09384882,0.008789328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8118141,0.000422289,0.032137,0.0003412533,0.001560173,0.001939379,0.002990693,0.0003857553,0.1484094],"genre_scores_gemma":[0.9848568,0.0001474518,0.00891768,0.00002114991,0.00006218338,5.483552e-7,0.00009431496,0.00002998612,0.005869857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4863735,"threshold_uncertainty_score":0.9996924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08738898061913611,"score_gpt":0.2144974375226013,"score_spread":0.1271084569034652,"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."}}