{"id":"W2167837034","doi":"10.2514/1.c033238","title":"Extension of the n-Vortex Model to Approximate the Effects of Turbulence","year":2015,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Extension (predicate logic); Turbulence; Vortex; Wake turbulence; K-epsilon turbulence model; Physics; Mathematics; Mechanics; Computer science","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":[0.0003467193,0.00009383651,0.0002073283,0.00005637023,0.00001662631,0.000008139319,0.0003362454,0.00004115861,0.000001313658],"category_scores_gemma":[0.0001323132,0.00004877292,0.0001260737,0.0001454484,0.00003034477,0.00007277761,0.00006091633,0.0001773188,0.000001673007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003076167,"about_ca_system_score_gemma":0.00004242986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004760356,"about_ca_topic_score_gemma":0.000001772645,"domain_scores_codex":[0.9991204,0.0000237924,0.0003386848,0.00005409124,0.0003410419,0.0001219629],"domain_scores_gemma":[0.9992824,0.00006023762,0.0001219027,0.0002664432,0.0001895381,0.00007954431],"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":[0.00002133406,0.00003133252,0.0001249803,0.0001080581,0.00003474152,0.00000441423,0.0005686702,0.9683217,0.02676592,0.0003120526,0.0030266,0.000680179],"study_design_scores_gemma":[0.0003360137,0.0001271577,0.001297164,0.0002453643,0.00004003695,0.00003005865,0.00001972327,0.9880159,0.008332504,0.001313418,0.0001768129,0.0000658049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856569,0.0008255557,0.01195176,0.0003423014,0.0007548756,0.0001476936,0.000002816534,0.000009590462,0.0003085282],"genre_scores_gemma":[0.9979011,0.00007460351,0.001809906,0.00007071764,0.00005208177,0.000001261205,1.013795e-7,0.00001551339,0.00007471963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969422,"threshold_uncertainty_score":0.1988902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033057021924133,"score_gpt":0.2097999292154724,"score_spread":0.1994693589962311,"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."}}