{"id":"W2805581298","doi":"10.11159/ffhmt18.139","title":"Study of a Vertical Axis Wind Turbine for Low Speed Regions in Saudi Arabia","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prince Mohammad Bin Fahd University","keywords":"Vertical axis wind turbine; Vertical axis; Horizontal axis; Wind speed; Turbine; Marine engineering; Geology; Wind power; Geodesy; Meteorology; Aerospace engineering; Electrical engineering; Engineering; Physics; Engineering drawing; Structural engineering; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537287,0.0001855273,0.0001946753,0.0001841719,0.0004796933,0.000435582,0.0001943912,0.0003194109,0.00103541],"category_scores_gemma":[0.0001873133,0.00008639462,0.0002071806,0.0001901686,0.0001226681,0.0002396809,0.0001125902,0.0001650431,0.000226686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103607,"about_ca_system_score_gemma":0.0003199287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012166,"about_ca_topic_score_gemma":0.01785846,"domain_scores_codex":[0.9999205,0.00001508897,0.000006399694,0.00001350675,0.00002868705,0.00001578878],"domain_scores_gemma":[0.9999127,0.00002101894,0.00001220626,0.000004550031,0.00003838036,0.00001118688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001121953,0.001520331,0.353832,0.001287304,0.0001856873,0.01629788,0.004239206,0.2934876,0.2074668,0.009202274,0.0061197,0.1052393],"study_design_scores_gemma":[0.00008854676,0.002813279,0.5386961,0.0001054518,0.000120254,0.002333409,0.01152134,0.391754,0.03248499,0.001086586,0.01891669,0.00007929147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963875,0.0000987739,0.0008168325,0.00005894145,0.000009169101,0.00001509083,0.00007459046,0.000005156262,0.002534047],"genre_scores_gemma":[0.9977664,0.0001077577,0.0005884141,0.00001166319,0.000003046922,0.000003862816,0.00008782746,0.000002804984,0.001428241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012166,"threshold_uncertainty_score":0.02419037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183968499118796,"score_gpt":0.2584807212305265,"score_spread":0.2266410362393386,"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."}}