{"id":"W4387907365","doi":"10.3390/jmse11112036","title":"Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows","year":2023,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Oceanographic and Atmospheric Processes","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":"Turbulence; TRACER; Reynolds-averaged Navier–Stokes equations; Eddy diffusion; Damköhler numbers; Schmidt number; Mechanics; Reynolds number; Mixing (physics); Thermal diffusivity; Thermodynamics; Physics; Statistical physics; Nuclear physics","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":[0.004663577,0.001155143,0.0008755023,0.001046475,0.001185869,0.00168586,0.001639517,0.001141357,0.0009195773],"category_scores_gemma":[0.02096152,0.0004421948,0.001097517,0.000461991,0.002298022,0.004447619,0.001584704,0.001722529,0.00015882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082826,"about_ca_system_score_gemma":0.0008939881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059928,"about_ca_topic_score_gemma":0.003194897,"domain_scores_codex":[0.9983602,0.0004819154,0.000172731,0.0003777982,0.0004165965,0.0001908285],"domain_scores_gemma":[0.9915928,0.004629367,0.001382349,0.001134869,0.0008847383,0.0003759394],"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":[0.0008829951,0.0003960945,0.04874612,0.0005656314,0.0003006271,0.00131287,0.000853268,0.5707849,0.07710609,0.2337141,0.003948068,0.06138923],"study_design_scores_gemma":[0.00003545322,0.0001020816,0.005210522,0.00004655357,0.00003871839,0.00009197059,0.00004968544,0.9604506,0.008202267,0.02478131,0.0009353062,0.00005541733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6158873,0.003146723,0.3488084,0.006486791,0.001213899,0.0001732841,0.0004356444,0.002748002,0.02109991],"genre_scores_gemma":[0.9842299,0.0002623994,0.01415994,0.0002904209,0.0001451241,0.0000324732,0.00008727745,0.0002060807,0.0005864367],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01059928,"threshold_uncertainty_score":0.02466363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009876704900980254,"score_gpt":0.212384714655894,"score_spread":0.2025080097549138,"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."}}