{"id":"W2018272830","doi":"10.1007/s10652-014-9343-6","title":"The evolution of large and small-scale structures in Kelvin–Helmholtz instabilities","year":2014,"lang":"en","type":"article","venue":"Environmental Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Western Canada Research Grid","keywords":"Reynolds number; Prandtl number; Turbulence; Physics; Direct numerical simulation; Instability; Mechanics; Vortex; Dynamic similarity; Statistical physics; Vorticity; Classical mechanics; Magnetic Reynolds number; Heat transfer","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":[0.0002183371,0.0001237375,0.0001243156,0.00003995437,0.00006395696,0.00001275032,0.0001085767,0.00007141116,0.00002505322],"category_scores_gemma":[0.00001101523,0.0001030159,0.00003330324,0.00004221913,0.00003573441,0.0000507748,0.00007769166,0.0001130252,0.000003331808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147417,"about_ca_system_score_gemma":0.000003474383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001809281,"about_ca_topic_score_gemma":0.0001604982,"domain_scores_codex":[0.9993105,0.00002762215,0.0002028904,0.0001313243,0.0001177722,0.0002098971],"domain_scores_gemma":[0.9996852,0.00005017211,0.00001821423,0.0002058275,0.000001741831,0.00003882052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006402651,0.0001779703,0.01043764,0.00021248,0.00007861365,0.000002708599,0.002145019,0.1866523,0.4491252,0.3355829,0.0001713345,0.01534986],"study_design_scores_gemma":[0.0003325197,0.00004519984,0.00705984,0.000009455856,0.00000666326,0.000002420807,0.0003356145,0.9812707,0.002544483,0.006603419,0.001671552,0.0001180741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933539,0.001576489,0.004277789,0.00001532048,0.0002412384,0.0001363613,0.00003797957,0.00002863414,0.0003322718],"genre_scores_gemma":[0.9990965,0.0005180255,0.0002561959,0.00001119453,0.00002325046,0.000009730494,0.00000987617,0.00002098818,0.00005420951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7946185,"threshold_uncertainty_score":0.4200866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002217825141587784,"score_gpt":0.1515122900989333,"score_spread":0.1492944649573455,"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."}}