{"id":"W3213230367","doi":"10.1115/imece2001/htd-24125","title":"A New Type Two-Layer Turbulence Model for Natural Convection Applied to a Diffrentially Heated Channel","year":2001,"lang":"en","type":"article","venue":"","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Turbulence; Natural convection; Scaling; Mechanics; Reynolds number; Computation; Universality (dynamical systems); Convection; Physics; Channel (broadcasting); Heat transfer; Flow (mathematics); Statistical physics; Mathematics; Thermodynamics; Computer science; Geometry; Algorithm; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00003963218,0.0001444815,0.0001554266,0.00005786422,0.0000402468,0.00003230432,0.00008596785,0.00006565007,0.0001072454],"category_scores_gemma":[0.000009343019,0.0001306058,0.00004949771,0.0001934187,0.000006614483,0.00007919916,0.000007731659,0.0001025452,0.00006724276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003735582,"about_ca_system_score_gemma":0.00002265752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006450695,"about_ca_topic_score_gemma":0.00009525999,"domain_scores_codex":[0.9992297,0.000003452522,0.0001529154,0.0001795926,0.000100952,0.0003333956],"domain_scores_gemma":[0.9996024,0.00002345604,2.479656e-7,0.0001148207,0.00005046118,0.0002086555],"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":[0.0002421599,0.00004158028,0.00001048732,0.00007380977,0.00005895969,0.000003798142,0.0007852704,0.09721455,0.8757372,0.01396772,0.007464943,0.004399529],"study_design_scores_gemma":[0.0007262335,0.00004687928,0.00004605345,0.000011063,0.00001726568,0.000006059695,0.00001635078,0.9660225,0.03178591,0.0007978135,0.0003015868,0.0002223175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09191494,0.00005318251,0.9022097,0.0002390351,0.0003926976,0.0003513549,0.000004402867,0.000420319,0.004414341],"genre_scores_gemma":[0.9947593,0.00001631864,0.003748261,0.000474126,0.0001395027,0.00003946985,0.00001333179,0.00003197986,0.0007776964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9028444,"threshold_uncertainty_score":0.5325952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208065644693691,"score_gpt":0.2523506285062184,"score_spread":0.2302699720592815,"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."}}