{"id":"W4399678527","doi":"10.1063/5.0209727","title":"Predictability of decaying stratified turbulence","year":2024,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predictability; Turbulence; Physics; Statistical physics; Turbulence kinetic energy; Wavenumber; Context (archaeology); Isotropy; K-epsilon turbulence model; Kinetic energy; Reynolds number; Stratified flows; Mechanics; Buoyancy; K-omega turbulence model; Direct numerical simulation; Classical mechanics; Stratified flow; Geology; Optics","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":[0.000464563,0.0002808615,0.0002613124,0.0003850675,0.0002798786,0.0007061235,0.0002184003,0.0002114242,0.0003153458],"category_scores_gemma":[0.003575413,0.0001430934,0.000263948,0.0002513825,0.0007523607,0.0006716262,0.0006616728,0.0004421428,0.000047481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283747,"about_ca_system_score_gemma":0.0004141085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814699,"about_ca_topic_score_gemma":0.0008738975,"domain_scores_codex":[0.9997514,0.00005194893,0.000022685,0.00004724936,0.00007018194,0.00005660981],"domain_scores_gemma":[0.9983266,0.0007103367,0.0004554882,0.0002266103,0.0001798669,0.0001011398],"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":[0.0007500291,0.0001033563,0.1042876,0.0001269165,0.00009046003,0.0007644772,0.0003844131,0.775436,0.06378181,0.02215858,0.0005658958,0.03155055],"study_design_scores_gemma":[0.00001264193,0.0001137431,0.0335082,0.00001323391,0.00001661713,0.00008624823,0.00006983822,0.9504696,0.009152827,0.006267263,0.000260147,0.00002966622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881098,0.00009989889,0.01065647,0.00004722311,0.00001147894,0.000007913856,0.00005435253,0.00005545357,0.000957427],"genre_scores_gemma":[0.9994598,0.00003057455,0.0004100407,0.000003170783,0.000002678286,0.000002400056,0.00003002685,0.000006770565,0.00005459295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001814699,"threshold_uncertainty_score":0.003608346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298446357311004,"score_gpt":0.2544898695081669,"score_spread":0.2215054059350569,"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."}}