{"id":"W4385462227","doi":"10.32920/23811246","title":"Design, modeling and economic performance of a vertical axis wind turbine","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vertical axis wind turbine; Turbine; Blank; Engineering; Rotor (electric); Mechanical engineering; Blade (archaeology); Wind power; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789175,0.0001465647,0.0002243728,0.0001155339,0.00001767157,0.00002376942,0.0001208202,0.0001283122,0.00005465972],"category_scores_gemma":[0.000009005257,0.000135509,0.00002890123,0.00002946712,0.00002085119,0.00004105348,0.0002815434,0.000236993,0.00004849125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007896886,"about_ca_system_score_gemma":0.00008961486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008428351,"about_ca_topic_score_gemma":0.000009670893,"domain_scores_codex":[0.9992328,0.000008826361,0.000233919,0.0001877205,0.0001018648,0.0002348375],"domain_scores_gemma":[0.9996632,0.00003489766,0.000006386454,0.0001765245,0.00001771411,0.0001012588],"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":[0.00001673128,0.0000029372,0.0002168923,0.0002455682,0.00006592528,0.000001910393,0.00006458244,0.9980363,0.0002671968,0.00002093743,0.000275371,0.0007857023],"study_design_scores_gemma":[0.0001205865,0.0000221223,0.0006938442,0.00007751143,0.000004864274,0.000001232228,0.000008638512,0.994982,0.003749916,0.0001714516,0.00002062923,0.0001472021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692382,0.0001404057,0.02915618,0.00003539906,0.0001892126,0.0001079482,0.000003345937,0.0001577799,0.0009715754],"genre_scores_gemma":[0.9933543,0.0009007149,0.005416983,0.0000038697,0.00004995135,0.00001697573,0.0000112944,0.0000315165,0.0002144529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02411609,"threshold_uncertainty_score":0.5525899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310362514426983,"score_gpt":0.2384035164884361,"score_spread":0.1952998913441663,"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."}}