{"id":"W3110862400","doi":"","title":"Three-dimensional visualization of stratified turbulent wakes at varying Reynolds number","year":2019,"lang":"en","type":"article","venue":"APS Division of Fluid Dynamics Meeting Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wake; Reynolds number; Turbulence; Mechanics; Flow visualization; Vortex; Stratified flows; Physics; Stratified flow; Flow (mathematics); Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067193,0.0001705496,0.0003117177,0.0000806964,0.0001263168,0.00002162564,0.000189811,0.0001356654,0.001680459],"category_scores_gemma":[0.0001924235,0.0001391304,0.00009775011,0.0002040796,0.00006965574,0.0001595194,0.00003422658,0.0001039202,0.0001787105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411106,"about_ca_system_score_gemma":0.0000354279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007119714,"about_ca_topic_score_gemma":0.0004494947,"domain_scores_codex":[0.9980683,0.00006615792,0.0007215776,0.0003156644,0.000574433,0.0002538328],"domain_scores_gemma":[0.9983108,0.0007629998,0.0004034337,0.0002592909,0.0001569759,0.0001064905],"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":[0.00005534867,0.00005435227,0.3657528,0.00004904187,0.00001856414,0.000002209069,0.00005294514,0.628043,0.004003562,0.0006138277,0.00003885945,0.001315438],"study_design_scores_gemma":[0.0002741347,0.0001205069,0.4711096,0.00008041561,0.00001276267,0.000002332938,0.00001216103,0.5255735,0.001000473,0.001671677,0.00001415113,0.0001283305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839258,0.00007550974,0.0002299221,0.00005907298,0.0002294436,0.0002140894,0.00004953251,0.00003311664,0.01518352],"genre_scores_gemma":[0.9975656,0.000006640101,0.001738325,0.00004718683,0.0000211604,4.580532e-7,0.0004954117,0.0000068497,0.0001184187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053567,"threshold_uncertainty_score":0.9992321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682893534016352,"score_gpt":0.242520172777804,"score_spread":0.2256912374376405,"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."}}