{"id":"W812007335","doi":"","title":"Dissipation Rate of Turbulent Kinetic Energy in Diel Vertical Migrations: Comparison of ANSYS Fluent Model to Measurements","year":2015,"lang":"en","type":"article","venue":"NSUWorks (Nova Southeastern University)","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissipation; Turbulence; Turbulence kinetic energy; Kinetic energy; Fluent; Mechanics; Diel vertical migration; Computational fluid dynamics; Physics; Geology; Thermodynamics; Classical mechanics; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007293121,0.0007892306,0.0005512384,0.0006353596,0.0004494626,0.0005706782,0.0008222802,0.0007717924,0.00137505],"category_scores_gemma":[0.001316424,0.0004441456,0.000643337,0.0004410473,0.0003158968,0.0005688203,0.0002826705,0.0007553387,0.0002623764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038038,"about_ca_system_score_gemma":0.0007300969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01811631,"about_ca_topic_score_gemma":0.009319324,"domain_scores_codex":[0.9997961,0.00002863027,0.00002112868,0.00004065861,0.00008347634,0.00003015423],"domain_scores_gemma":[0.9994919,0.0002235936,0.00006231054,0.00005490936,0.0001380742,0.00002918228],"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":[0.0003207327,0.0003052682,0.02734878,0.0001783875,0.00006254876,0.0001547459,0.0004376493,0.9207983,0.0164609,0.001322632,0.001356731,0.03125324],"study_design_scores_gemma":[0.0000116497,0.00003515881,0.004429858,0.000006031306,0.000005711464,0.00001699334,0.00002295079,0.9919674,0.003036901,0.0001017703,0.0003520481,0.00001346417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455316,0.0001533175,0.04662189,0.0001047119,0.00005550938,0.00008807709,0.0009972232,0.002339244,0.004108523],"genre_scores_gemma":[0.9804835,0.0001017353,0.01693846,0.00002889824,0.00000544084,0.0001161026,0.001052268,0.000221101,0.001052424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01811631,"threshold_uncertainty_score":0.03602171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257587274110872,"score_gpt":0.2417626047883285,"score_spread":0.1891867320472198,"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."}}