{"id":"W2969191831","doi":"10.1515/tjj-2019-0024","title":"Numerical Investigation on the Effects of Vortex Generator Locations on Film Cooling Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Turbo and Jet Engines","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vortex; Upstream (networking); Materials science; Vortex generator; Optics; Flow (mathematics); Mechanics; Physics; Telecommunications; Engineering","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":[0.00009208657,0.00008759857,0.0001070207,0.0001267085,0.00002185976,0.00002380304,0.0001301734,0.00003314707,0.00001879022],"category_scores_gemma":[0.00007204756,0.00005642226,0.00003813021,0.00007320899,0.00001578701,0.0001791891,0.00000709431,0.0001423435,0.000007827765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002409137,"about_ca_system_score_gemma":0.00001423316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001435839,"about_ca_topic_score_gemma":2.682372e-7,"domain_scores_codex":[0.9994415,0.00001242689,0.0002173181,0.0000507852,0.0002148056,0.0000631717],"domain_scores_gemma":[0.9994944,0.0001921829,0.00009177377,0.00006555978,0.0001258569,0.00003016386],"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":[0.00004563069,0.00002208159,0.01591067,0.00007105575,0.00009593006,0.00000193868,0.0002617619,0.9741268,0.004749232,0.0006464772,0.0007179889,0.003350436],"study_design_scores_gemma":[0.0005479768,0.0002765731,0.05224041,0.0004170408,0.00002019278,0.00002927232,0.00002270899,0.8696724,0.0756837,0.0000701666,0.00089392,0.0001257128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972299,0.0002027902,0.0008306822,0.0002371366,0.001229184,0.00006433992,0.000002345333,0.00001352843,0.0001900734],"genre_scores_gemma":[0.9988597,0.0003771831,0.0002323827,0.0001939942,0.0002852923,0.000002560104,0.000005151147,0.00001038493,0.00003333438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044545,"threshold_uncertainty_score":0.2300833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005346417291468347,"score_gpt":0.1936539644904711,"score_spread":0.1883075471990028,"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."}}