{"id":"W2910434263","doi":"10.1007/s00542-019-04303-8","title":"Numerical investigation on the effect of upstream ramps on film cooling performance with backward injection","year":2019,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council","keywords":"Upstream (networking); Coolant; Entrainment (biomusicology); Materials science; Mechanics; Adiabatic process; Vortex; Optics; Physics; Thermodynamics; Engineering; Acoustics","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":[0.0001637191,0.0001715342,0.000197198,0.0001285176,0.00006472265,0.0000249518,0.0001750059,0.0001449298,0.00000583394],"category_scores_gemma":[0.00003062249,0.00009712913,0.00003110558,0.0003351141,0.00004677513,0.0001167712,0.00001706761,0.0002589681,0.00008419576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006842387,"about_ca_system_score_gemma":0.00000640008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005755431,"about_ca_topic_score_gemma":0.000001726647,"domain_scores_codex":[0.9993562,0.00002142766,0.0001764519,0.0001491691,0.0001404492,0.0001563505],"domain_scores_gemma":[0.9994125,0.0001486491,0.00007375552,0.0003324977,0.00002358199,0.000008983382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001277774,0.000005501101,0.06618602,0.0004453973,0.00002812288,3.524557e-7,0.0001020292,0.9191612,0.009878905,0.00009743325,0.0002249201,0.003742327],"study_design_scores_gemma":[0.0003337169,0.00144446,0.002231376,0.0005624258,0.00001099802,0.00001193922,0.0001785324,0.195522,0.7993858,0.00000511517,0.0001574265,0.0001562594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997509,0.00005628125,0.0003808893,0.00005344882,0.000152728,0.0004275368,0.00000372398,0.0008852162,0.0005311623],"genre_scores_gemma":[0.9997019,0.00003330932,0.0001201291,0.00001158459,0.00001310991,0.00004912465,0.00001022335,0.00002354261,0.00003704694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7895069,"threshold_uncertainty_score":0.3960811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004274203919340274,"score_gpt":0.1645982710224095,"score_spread":0.1603240671030692,"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."}}