{"id":"W4296110223","doi":"10.3390/machines10090785","title":"Multi-Objective Optimization of a Small Horizontal-Axis Wind Turbine Blade for Generating the Maximum Startup Torque at Low Wind Speeds","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chord (peer-to-peer); Torque; Turbine; Aerodynamics; Turbine blade; Wind power; Blade element momentum theory; Blade (archaeology); Control theory (sociology); Structural engineering; Small wind turbine; Engineering; Blade pitch; Wind speed; Mechanical engineering; Physics; Computer science; Aerospace engineering; Meteorology; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004072496,0.0005984289,0.0004977016,0.0004137655,0.0002046431,0.0004995922,0.0002632948,0.0004677842,0.0008150277],"category_scores_gemma":[0.0004732661,0.0003069227,0.0004626814,0.0002424246,0.0002327199,0.0002204737,0.0002246568,0.0002595282,0.0001291545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252953,"about_ca_system_score_gemma":0.0005111782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771577,"about_ca_topic_score_gemma":0.002020532,"domain_scores_codex":[0.9998897,0.00003829108,0.000005881005,0.00002009314,0.00003000518,0.00001604823],"domain_scores_gemma":[0.9998264,0.00009053953,0.00003130875,0.000006311404,0.00003093423,0.00001445927],"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":[0.00004961912,0.00003782445,0.00036821,0.00007033512,0.00001432704,0.00008360352,0.00001709983,0.9823679,0.01017861,0.0003663553,0.0001091069,0.006337074],"study_design_scores_gemma":[0.00001114632,0.00008814599,0.0003495691,0.000003436053,0.000006993277,0.000006917665,0.00001051711,0.9979082,0.001360271,0.0001142278,0.0001375264,0.000003077738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6061743,0.0005272616,0.3864798,0.0001227304,0.00005305652,0.0001605921,0.00009393481,0.0001749744,0.006213294],"genre_scores_gemma":[0.948991,0.0001394986,0.04901758,0.00002154287,0.000007499875,0.0001433468,0.00006088689,0.00002099772,0.001597746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001771577,"threshold_uncertainty_score":0.003522515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386915598573575,"score_gpt":0.2234221578961933,"score_spread":0.2095530019104575,"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."}}