{"id":"W2340244231","doi":"10.1016/j.renene.2016.04.017","title":"Direct calculation of wind turbine tip loss","year":2016,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Russian Science Foundation","keywords":"Prandtl number; Rotor (electric); Bessel function; Mechanics; Turbine; Wake; Magnetic Prandtl number; Mathematics; Airfoil; Turbine blade; Mathematical analysis; Physics; Structural engineering; Engineering; Turbulence; Reynolds number; Convection; Thermodynamics; Nusselt number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002400082,0.0005078713,0.0006398677,0.0004100573,0.0003721991,0.0007492301,0.001167014,0.0007383895,0.01019666],"category_scores_gemma":[0.001578493,0.0004767685,0.0004372842,0.0003807432,0.0003479954,0.000971571,0.0007101761,0.0006785053,0.001646827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369459,"about_ca_system_score_gemma":0.0007341582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817128,"about_ca_topic_score_gemma":0.01349899,"domain_scores_codex":[0.9998517,0.00001603657,0.000005830889,0.00001483411,0.00009719131,0.00001441277],"domain_scores_gemma":[0.9995672,0.0001431695,0.00002361489,0.00005705886,0.0001855971,0.00002328907],"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":[0.000147045,0.0001134337,0.002091109,0.0006789892,0.00008198499,0.00064438,0.0001544434,0.8841138,0.01018419,0.02790133,0.005404749,0.0684846],"study_design_scores_gemma":[0.00002996473,0.00002299702,0.0008224375,0.00002453141,0.00001642243,0.0000893976,0.00002671199,0.9907463,0.002168674,0.002893513,0.003152361,0.000006734683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219084,0.001368926,0.6780367,0.0004761486,0.0006690022,0.0002499466,0.0007984772,0.00141461,0.1950778],"genre_scores_gemma":[0.8518043,0.0006143043,0.08294587,0.0002052088,0.0001212948,0.0001659998,0.000294655,0.0006806318,0.06316777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01019666,"threshold_uncertainty_score":0.0341112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00797506464918504,"score_gpt":0.200827508165479,"score_spread":0.1928524435162939,"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."}}