{"id":"W2314046830","doi":"10.2514/6.2014-2700","title":"On the Stable Leading Edge Vortex in Rotating Systems","year":2014,"lang":"en","type":"article","venue":"32nd AIAA Applied Aerodynamics Conference","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Vortex; Enhanced Data Rates for GSM Evolution; Physics; Aerospace engineering; Computer science; Mechanics; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031814,0.0002473546,0.0002842835,0.00009361161,0.0001157613,0.0001507953,0.0003573317,0.000135025,0.00007831735],"category_scores_gemma":[0.00003504353,0.0001884832,0.00003330203,0.0002437575,0.00003857254,0.00004770334,0.00004948566,0.0004000803,0.0002352176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005656432,"about_ca_system_score_gemma":0.00001775454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002488785,"about_ca_topic_score_gemma":0.00006158517,"domain_scores_codex":[0.9986874,0.00005324358,0.0003353495,0.00028718,0.0002201441,0.0004166484],"domain_scores_gemma":[0.9991618,0.0002876447,0.00006026081,0.0003892624,0.00003025437,0.00007074031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008490781,0.00001519607,0.00003882726,0.00008600946,0.00001209047,0.000001366569,0.0002738464,0.01772203,0.0417337,0.928441,0.0001660781,0.01150134],"study_design_scores_gemma":[0.0003032411,0.00003138219,0.0001604114,0.0001293569,0.000008039494,0.000001594892,0.0002038659,0.9770655,0.003713007,0.01731575,0.0007328185,0.0003349968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7550656,0.00006148648,0.1328749,0.0001525643,0.001036768,0.0007361281,0.00001314692,0.0003521229,0.1097073],"genre_scores_gemma":[0.9984917,0.00001543289,0.0008732,0.00007804056,0.00006020316,0.0001029635,0.0000125973,0.00004318132,0.0003226491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9593435,"threshold_uncertainty_score":0.7686123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248256913288259,"score_gpt":0.1911790056867677,"score_spread":0.1786964365538851,"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."}}