{"id":"W2070049081","doi":"10.1115/1.4004955","title":"A Duct Optimization Study for a Vertical Axis Hydro-current Turbine Model","year":2011,"lang":"en","type":"article","venue":"Journal of Offshore Mechanics and Arctic Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mavi Innovations (Canada); University of British Columbia","funders":"","keywords":"Turbine; Torque; Duct (anatomy); Mechanics; Atmospheric duct; Vertical axis; Control theory (sociology); Marine engineering; Physics; Engineering; Mechanical engineering; Computer science; Mathematics; Geometry; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002993244,0.0001415315,0.0002185905,0.0001655605,0.00003334733,0.00002582639,0.0001054104,0.00003823348,0.00000918518],"category_scores_gemma":[0.00007959235,0.0001211029,0.0000636484,0.0001024133,0.000003244582,0.0001326617,0.00003251612,0.000199082,3.197466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006246681,"about_ca_system_score_gemma":0.0000302459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.850093e-7,"about_ca_topic_score_gemma":6.780103e-7,"domain_scores_codex":[0.9991243,0.000006155301,0.0003299413,0.00009611222,0.0002017256,0.0002417289],"domain_scores_gemma":[0.9995652,0.00002762843,0.0000250311,0.00008589504,0.0001099824,0.0001862471],"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":[0.00004486377,0.0001078775,0.0000568924,0.0001283503,0.0001244877,0.00001312941,0.0007206277,0.9951673,0.0005575847,0.001071203,0.00004865187,0.001959097],"study_design_scores_gemma":[0.0006115158,0.00029248,0.00009820113,0.00007451115,0.00003801602,0.00003831877,0.00007678778,0.9973132,0.0007525805,0.0004817033,0.00008676775,0.0001359302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1553752,0.000578789,0.8434629,0.00001716195,0.0003596048,0.0001517799,0.000001640588,0.00003152416,0.00002136737],"genre_scores_gemma":[0.9574524,0.0002526223,0.04214483,0.000003938248,0.00009642582,0.00001465103,0.000001193307,0.00003002081,0.000003899969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8020772,"threshold_uncertainty_score":0.4938433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852154724043095,"score_gpt":0.2308695066169673,"score_spread":0.2023479593765364,"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."}}