{"id":"W2153148363","doi":"10.1260/0309-524x.3.4.461","title":"Low Reynolds Number Vertical Axis Wind Turbine for Mars","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Turbine; Vertical axis wind turbine; Aerospace engineering; Wind power; Aerodynamics; Wells turbine; Turbulence; Mars Exploration Program; Meteorology; Marine engineering; Engineering; Environmental science; Turbine blade; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001403988,0.0002957873,0.0003226539,0.0001916782,0.0003427666,0.0003917018,0.0004103857,0.0002832097,0.00374557],"category_scores_gemma":[0.0003123974,0.0001275054,0.0002638086,0.000308543,0.0001167271,0.0002509732,0.0002558595,0.0004751862,0.001619049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036921,"about_ca_system_score_gemma":0.0003500389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008058287,"about_ca_topic_score_gemma":0.001156983,"domain_scores_codex":[0.9999126,0.00001533892,0.000003631152,0.00001295627,0.00004800122,0.00000743801],"domain_scores_gemma":[0.9999051,0.00001582994,0.00001571998,0.00001973358,0.00003346088,0.00001009436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004652111,0.0001602698,0.00944675,0.0007709536,0.00004309387,0.0004955509,0.0001469299,0.2880022,0.332079,0.02995374,0.02401635,0.31442],"study_design_scores_gemma":[0.0001168863,0.0006704149,0.01047361,0.00004388345,0.00002884471,0.0003382539,0.00004060446,0.8589639,0.04888171,0.005169868,0.07522452,0.00004758346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242481,0.001779736,0.7074819,0.0005023856,0.0003120608,0.0003019091,0.001708899,0.005659657,0.03977263],"genre_scores_gemma":[0.7432522,0.0005679472,0.2360844,0.00005519268,0.00005297031,0.0002764204,0.001763097,0.0001953465,0.01775231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00374557,"threshold_uncertainty_score":0.01253015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005666349872006837,"score_gpt":0.2072730047902563,"score_spread":0.2016066549182495,"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."}}