{"id":"W2115617985","doi":"10.1002/we.1860","title":"Digital tuft analysis of stall on operational wind turbines","year":2015,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tuft; Stall (fluid mechanics); Wind power; Marine engineering; Environmental science; Aerospace engineering; Engineering; Meteorology; Electrical engineering; Geography","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":[0.0000692078,0.0001231714,0.0001987316,0.0003074061,0.000021506,0.00005162197,0.0001276996,0.00005537135,0.0001158701],"category_scores_gemma":[0.00003000462,0.0001064209,0.00007545268,0.0005186672,0.00002776913,0.0001575094,0.00003407097,0.00005494607,0.00002127399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006486488,"about_ca_system_score_gemma":0.00006942722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006253446,"about_ca_topic_score_gemma":0.00003469459,"domain_scores_codex":[0.9990608,0.00001018159,0.0001896705,0.0001380538,0.0003846092,0.0002167003],"domain_scores_gemma":[0.9995146,0.00002858644,0.00001446227,0.0001681203,0.0000849358,0.0001892297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002211697,0.00003967068,0.000724798,0.000004171982,0.000573625,0.000009136682,0.0001346527,0.9872872,0.000350698,0.00139165,0.005455701,0.004006594],"study_design_scores_gemma":[0.002297702,0.0004995589,0.04964836,0.00006462085,0.000227133,0.00001062881,0.0004816201,0.3931824,0.0224589,0.0008870362,0.5289579,0.001284095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755068,0.0002086951,0.001286093,0.0001256643,0.0002177152,0.00002869652,0.00006703135,0.0001088583,0.1224505],"genre_scores_gemma":[0.9972127,0.00001374253,0.0001574741,0.00006329623,0.0001148187,0.000002863321,0.0002381805,0.00001626536,0.002180626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5941048,"threshold_uncertainty_score":0.4339719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718790486577912,"score_gpt":0.2191975982437855,"score_spread":0.2020096933780063,"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."}}