{"id":"W4240284616","doi":"10.32920/ryerson.14665251","title":"Small Scale Vertical Axis Wind Turbine","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wind power; Vertical axis wind turbine; Renewable energy; Turbine; Electricity; Rotor (electric); Marine engineering; Electricity generation; Wind hybrid power systems; Automotive engineering; Stator; Power (physics); Electrical engineering; Engineering; Distributed generation; Mechanical engineering; Grid energy storage","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":[0.00005593648,0.0002440603,0.0002652124,0.00008884288,0.0001609465,0.0003550395,0.0003680049,0.0003824645,0.005388269],"category_scores_gemma":[0.0001028108,0.0001032273,0.0002443511,0.000157707,0.0001740386,0.000228002,0.000190797,0.0002116501,0.0009813926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038804,"about_ca_system_score_gemma":0.0001752922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008266888,"about_ca_topic_score_gemma":0.0007205856,"domain_scores_codex":[0.9999422,0.000009254564,0.000002117806,0.0000136172,0.00002703109,0.000005731808],"domain_scores_gemma":[0.9999707,0.000004712666,0.000004873269,0.000004641705,0.00001068643,0.000004294718],"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":[0.0003868304,0.0001585794,0.003931877,0.0007937513,0.00005619156,0.001152128,0.000117059,0.6364911,0.1991073,0.04943785,0.01437947,0.09398774],"study_design_scores_gemma":[0.0001241303,0.0008542347,0.007574054,0.00004308003,0.00004451469,0.0006656011,0.00008755651,0.8873091,0.01821542,0.006099005,0.07894438,0.00003891463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2546771,0.00231484,0.5797092,0.000417327,0.0007342896,0.0005984865,0.002098482,0.00185658,0.1575937],"genre_scores_gemma":[0.912044,0.0009325906,0.03784148,0.0000782467,0.00004684812,0.0003101327,0.0009444832,0.00008459807,0.04771766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005388269,"threshold_uncertainty_score":0.01802552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295876149625621,"score_gpt":0.222524974532892,"score_spread":0.1995662130366357,"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."}}