{"id":"W2525214655","doi":"10.1088/1742-6596/753/7/072007","title":"In-blade angle of attack measurement and comparison with models","year":2016,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Angle of attack; Blade (archaeology); Torque; Turbine; Marine engineering; Turbine blade; Structural engineering; Aerospace engineering; Engineering; Computer science; Mechanics; Physics; Aerodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001227732,0.00007387508,0.000200429,0.00004393205,0.00001050165,0.00001402572,0.00007293795,0.00001853027,0.000009085948],"category_scores_gemma":[0.000006820076,0.00004417399,0.00001631943,0.0000648644,0.00005740491,0.0004662525,0.00001492595,0.00007383164,6.110778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004030631,"about_ca_system_score_gemma":0.00009818463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003899373,"about_ca_topic_score_gemma":0.0000338327,"domain_scores_codex":[0.9993111,0.00001225929,0.0002058781,0.000043968,0.0003029865,0.0001237576],"domain_scores_gemma":[0.9995778,0.00001404058,0.00006206916,0.00005731002,0.0002279892,0.00006082022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00132745,0.0004797414,0.0253281,0.0007479661,0.0008618612,0.00009033931,0.01008917,0.1555417,0.4424614,0.05035363,0.004608287,0.3081103],"study_design_scores_gemma":[0.001745024,0.0006887418,0.01047633,0.000935059,0.0000162963,0.00002691299,0.0007215624,0.002642223,0.9641699,0.01709301,0.001209606,0.0002753535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998445,0.0003423307,0.09715347,0.0003874917,0.00007799819,0.0000552903,0.000003460289,0.00001003929,0.002125376],"genre_scores_gemma":[0.9985254,0.0001998664,0.001200574,0.000003617072,0.00003370002,0.000001344215,1.097789e-7,0.00000650183,0.00002888597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5217085,"threshold_uncertainty_score":0.1801363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641999123758567,"score_gpt":0.2518662545385025,"score_spread":0.1854462633009168,"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."}}