{"id":"W2155925949","doi":"10.1109/ccece.2009.5090311","title":"Design and development of hybrid vertical axis turbine","year":2009,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Turbine; Vertical axis wind turbine; Marine engineering; Rotor (electric); Wind power; Wells turbine; Lift (data mining); Engineering; Mechanical engineering; Turbine blade; Computer science; Electrical engineering","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":[0.0001395051,0.0002952672,0.0003146653,0.0002933373,0.0002131183,0.0003638247,0.0005411428,0.0003402796,0.003091214],"category_scores_gemma":[0.0001364044,0.0002269817,0.000215333,0.0001953688,0.0001435981,0.0002556267,0.0002516293,0.0001704347,0.001111519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600781,"about_ca_system_score_gemma":0.000285238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446221,"about_ca_topic_score_gemma":0.0008258157,"domain_scores_codex":[0.9998313,0.00001367057,0.00000855592,0.00003144698,0.0001003986,0.00001455143],"domain_scores_gemma":[0.9998857,0.00000874548,0.00001484381,0.00001031966,0.00006678133,0.00001360919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002914287,0.0001125274,0.004276896,0.0007976947,0.00006947157,0.0008830563,0.0002087132,0.07191782,0.591916,0.01584607,0.008233765,0.3054465],"study_design_scores_gemma":[0.0004921274,0.004721631,0.01955553,0.0001121119,0.0001448346,0.002577669,0.0001708786,0.5338078,0.2297441,0.003714631,0.2048227,0.0001361437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241367,0.0009488071,0.8395388,0.0001762231,0.0002802439,0.0005436771,0.0004206971,0.002248189,0.03170674],"genre_scores_gemma":[0.7350771,0.000578517,0.2404056,0.0000763332,0.00007191352,0.0004255251,0.0006863878,0.00008839577,0.02259007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003091214,"threshold_uncertainty_score":0.01034117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871774228559503,"score_gpt":0.2213797257301676,"score_spread":0.2026619834445726,"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."}}