{"id":"W2946882880","doi":"10.1177/0309524x19849845","title":"Development and performance testing of a small, multi-bladed wind turbine","year":2019,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Rural Affairs","keywords":"Turbine; Wind power; Rotor (electric); Marine engineering; Engineering; Process (computing); Focus (optics); Field (mathematics); Mechanical engineering; Architectural engineering; Systems engineering; Automotive engineering; Computer science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460018,0.0001909998,0.000213559,0.0001557208,0.00002907401,0.00002087791,0.000119791,0.00006938945,0.0000193231],"category_scores_gemma":[0.00003127308,0.0001898125,0.00001943767,0.000238405,0.00001159583,0.0001176617,0.00007048071,0.0001760735,0.00002906078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005917173,"about_ca_system_score_gemma":0.00003830569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004362285,"about_ca_topic_score_gemma":0.00000140943,"domain_scores_codex":[0.9990172,0.000003161169,0.0002590791,0.0001669888,0.0001618764,0.0003917254],"domain_scores_gemma":[0.9996268,0.00004244595,0.00001908632,0.0001472804,0.00003451963,0.0001299104],"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":[0.00001356697,0.00002693296,0.03028465,0.00114723,0.0001285978,0.00001029855,0.00110822,0.8228394,0.1095178,0.00003014125,0.00002154633,0.03487159],"study_design_scores_gemma":[0.0009616453,0.00005702702,0.2475433,0.0003792603,0.000006040352,0.00002406166,0.00006763695,0.6351569,0.1091993,8.407027e-7,0.006122627,0.0004812633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974334,0.000265588,0.0009846487,0.000004237429,0.0001541289,0.0001196667,0.00000114139,0.0001789529,0.0008582516],"genre_scores_gemma":[0.9157975,0.00001875202,0.0839209,0.000004544562,0.00003542044,0.000005598157,0.000004730721,0.00003836424,0.0001741382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2172587,"threshold_uncertainty_score":0.774033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038195966042989,"score_gpt":0.1888205504219252,"score_spread":0.1684385907614953,"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."}}