{"id":"W4399489745","doi":"10.1088/1742-6596/2767/9/092052","title":"Active Cluster Wake Mixing","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Wake; Thrust; Wind power; Cluster (spacecraft); Environmental science; Marine engineering; Flow (mathematics); Computer science; Computational fluid dynamics; Meteorology; Mechanics; Aerospace engineering; Physics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000869722,0.00009169608,0.0001361654,0.00005988771,0.00002874582,0.0001425952,0.0001097999,0.00002927202,0.00007026862],"category_scores_gemma":[0.00001087732,0.00007233356,0.00006313665,0.0001217705,0.00003232219,0.0006569151,0.00002392761,0.0002561021,0.00002697585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005211918,"about_ca_system_score_gemma":0.0001449377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001359033,"about_ca_topic_score_gemma":0.000003239966,"domain_scores_codex":[0.9993888,0.00001212386,0.0001664523,0.00005499686,0.0002098898,0.0001678057],"domain_scores_gemma":[0.999688,0.00003454619,0.00002036681,0.00005754901,0.0001205032,0.00007908786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009376073,0.00002947667,0.00005376962,0.0003485414,0.0005681085,0.0002086182,0.00536506,0.01155687,0.03565493,0.03958977,0.01129336,0.8952377],"study_design_scores_gemma":[0.0003627196,0.0002185088,0.0009371203,0.0007070448,0.00003301669,0.0001660405,0.001325391,0.006699871,0.8588619,0.04884562,0.08144177,0.0004010415],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5713353,0.002752125,0.3232875,0.00310673,0.005832838,0.0002124521,0.00003529297,0.0004560942,0.09298166],"genre_scores_gemma":[0.9977823,0.0002504941,0.001020096,0.00001615975,0.0004286641,0.000001823009,0.000001555529,0.00001519419,0.0004836926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8948367,"threshold_uncertainty_score":0.2949677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777261352634234,"score_gpt":0.2392462979308477,"score_spread":0.2214736844045053,"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."}}