{"id":"W3194045536","doi":"10.11159/htff21.136","title":"A Re-examination of Power Coefficient as a Measure of Performance for Horizontal Axis Wind Turbines","year":2021,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horizontal axis; Wind power; Measure (data warehouse); Horizontal and vertical; Power (physics); Vertical axis; Marine engineering; Environmental science; Acoustics; Geology; Geodesy; Computer science; Engineering; Electrical engineering; Physics; Engineering drawing; Structural engineering","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":[0.0001969804,0.0001583349,0.0002972666,0.00008505986,0.00002664332,0.00002526857,0.0001797624,0.00007258038,0.00002078791],"category_scores_gemma":[0.0001736035,0.0001296397,0.00006860767,0.0002182523,0.00003813786,0.00007416343,0.0001011402,0.00009462219,2.219766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003387409,"about_ca_system_score_gemma":0.00002103744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001247251,"about_ca_topic_score_gemma":6.061891e-7,"domain_scores_codex":[0.9990213,0.000002511596,0.000319392,0.0001708552,0.0002742675,0.0002117064],"domain_scores_gemma":[0.999467,0.00004589054,0.00007130204,0.00009253696,0.0002543047,0.00006892966],"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":[0.0001079927,0.00004082467,0.000004953824,0.0008921956,0.00005285624,2.578686e-7,0.0000273339,0.0007496587,0.9956972,0.001825672,0.0001249546,0.0004760869],"study_design_scores_gemma":[0.0004419716,0.00009390473,0.00004553606,0.0005295934,0.00001724651,0.000002808652,0.00006916016,0.00582301,0.9920915,0.00003064092,0.0007241034,0.0001305204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986224,0.00002743279,0.000008908866,0.00004054226,0.0004764838,0.0001721771,0.00002030502,0.00003999402,0.0005917689],"genre_scores_gemma":[0.9988106,0.00004242958,0.0009530501,0.000005175486,0.00005224231,0.00002715201,0.000004288805,0.00002644946,0.00007859907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005073351,"threshold_uncertainty_score":0.5286553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006717018787644227,"score_gpt":0.1977327947733298,"score_spread":0.1910157759856855,"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."}}