{"id":"W2335997940","doi":"10.5539/mas.v10n5p132","title":"The Performance & Flow Visualization Studies of Three dimensional (3-D) Wind Turbine Blade Models","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbine; Turbine blade; Airfoil; Flow visualization; Laminar flow; Chord (peer-to-peer); Stall (fluid mechanics); Flow (mathematics); Wind tunnel; Blade (archaeology); Marine engineering; Structural engineering; Computer science; Mechanics; Engineering; Aerospace engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004840001,0.0001025385,0.0001067806,0.00007188941,0.0002881364,0.00002484784,0.000310936,0.00002349173,0.000005608527],"category_scores_gemma":[0.00002506119,0.00005376833,0.0000158085,0.0002964103,0.0004701692,0.0002103385,0.0001318201,0.00004774391,0.0000209078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008600527,"about_ca_system_score_gemma":0.00007113692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000105494,"about_ca_topic_score_gemma":0.00002425927,"domain_scores_codex":[0.9986551,0.000004396816,0.0001738005,0.0001864213,0.0006348593,0.0003453786],"domain_scores_gemma":[0.9994866,0.00007263695,0.00002333203,0.0002307961,0.0001112724,0.00007541674],"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":[0.00001998929,0.00001118674,0.0001272353,0.00002064662,0.0000220021,2.10396e-7,0.0004233322,0.6707429,0.3005988,0.002547198,0.0002311484,0.0252554],"study_design_scores_gemma":[0.0001950793,0.00001135467,0.001266536,0.00002786465,0.000001929321,0.000001013433,0.00001132885,0.951466,0.03502055,0.01171899,0.0001687043,0.0001106965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666339,0.0003454054,0.2312352,0.00007783119,0.0001230004,0.0001146351,0.000002387339,0.00007106551,0.001396666],"genre_scores_gemma":[0.9979662,0.000151827,0.001655808,0.00001304571,0.0000266711,0.00001951216,9.334741e-7,0.00001011353,0.0001559403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2807231,"threshold_uncertainty_score":0.2216142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831728467480884,"score_gpt":0.2618812883477572,"score_spread":0.2235640036729484,"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."}}