{"id":"W2037940782","doi":"10.1016/j.enconman.2014.07.003","title":"Applying micro scales of horizontal axis wind turbines for operation in low wind speed regions","year":2014,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Calgary","keywords":"Wind power; Torque; Aerodynamics; Turbine; Wind speed; Chord (peer-to-peer); Marine engineering; Turbine blade; Blade pitch; Control theory (sociology); Engineering; Automotive engineering; Mechanical engineering; Computer science; Meteorology; Aerospace engineering; Electrical engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002284307,0.0001990789,0.0002682431,0.0001696194,0.0002857429,0.0006746038,0.0003523103,0.0002818811,0.003494741],"category_scores_gemma":[0.0007064699,0.0001700842,0.0002662204,0.0002495126,0.000286963,0.0004796466,0.0003749652,0.0003938049,0.000324237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499295,"about_ca_system_score_gemma":0.0003320777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961559,"about_ca_topic_score_gemma":0.005010391,"domain_scores_codex":[0.9999117,0.00001434938,0.00000566018,0.0000198008,0.00003688318,0.00001169468],"domain_scores_gemma":[0.9996512,0.0001289737,0.00004646792,0.00006904492,0.00007640171,0.00002787784],"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":[0.000686098,0.0004715505,0.01958245,0.0003744484,0.00008624711,0.0005685192,0.000233311,0.2141222,0.6036475,0.01131488,0.002488209,0.1464245],"study_design_scores_gemma":[0.0001223493,0.001065743,0.07245493,0.00004269501,0.0001134232,0.0002784699,0.0005011455,0.7846094,0.1223082,0.007567147,0.01087452,0.00006209713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7706739,0.0006425654,0.2066001,0.0005604163,0.0003748981,0.0002197414,0.0003285733,0.000745896,0.01985384],"genre_scores_gemma":[0.9605983,0.0001907854,0.03748848,0.00005015783,0.00004248558,0.00005998933,0.00003703566,0.00003282001,0.00149987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003494741,"threshold_uncertainty_score":0.01169109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007749743522099015,"score_gpt":0.2017508903873188,"score_spread":0.1940011468652198,"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."}}