{"id":"W4403497263","doi":"10.1017/jfm.2024.784","title":"Mixing in a strongly stratified turbulent wake quantified by bulk and conditional statistics","year":2024,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Wake; Mixing (physics); Turbulence; Mechanics; Stratified flows; Statistical physics; Physics; Stratified flow; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005451989,0.0002912584,0.0003383716,0.001065511,0.0004258917,0.0006145551,0.0005039534,0.0003708199,0.0004716628],"category_scores_gemma":[0.002075903,0.0001625929,0.0005301916,0.0005078817,0.0006894256,0.0005657063,0.0006192886,0.0004460351,0.0001029675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672844,"about_ca_system_score_gemma":0.0005063076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006866584,"about_ca_topic_score_gemma":0.008687144,"domain_scores_codex":[0.9998554,0.00002263606,0.00001094649,0.0000437154,0.00003045387,0.00003670402],"domain_scores_gemma":[0.9991732,0.0002837419,0.0001633902,0.0001231591,0.0001345581,0.0001218612],"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":[0.001085901,0.0002592629,0.3034555,0.0002211449,0.0003081331,0.0009254795,0.0003568358,0.6031882,0.05209835,0.01114179,0.004462045,0.02249735],"study_design_scores_gemma":[0.00002890846,0.00009255701,0.08829544,0.00001165495,0.00003303963,0.0001322516,0.00005997809,0.9032591,0.004214412,0.003215485,0.0006082682,0.0000489413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993382,0.00008694128,0.005023977,0.00006939222,0.00000736011,0.000008170544,0.0008596954,0.0001965977,0.000365885],"genre_scores_gemma":[0.996147,0.00002902062,0.001719011,0.00001497148,0.000008349015,0.0000074459,0.001959794,0.00002952109,0.00008489292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006866584,"threshold_uncertainty_score":0.01365322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008136600668009114,"score_gpt":0.2179410127025577,"score_spread":0.2098044120345486,"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."}}