{"id":"W2024514512","doi":"10.1016/j.ijthermalsci.2005.04.002","title":"Application of a sensitivity equation method to turbulent flows with heat transfer","year":2005,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Air Force Office of Scientific Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Turbulence; Sensitivity (control systems); Mechanics; Heat transfer; Churchill–Bernstein equation; Materials science; Thermodynamics; Physics; Reynolds number; Nusselt number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162501,0.0008277762,0.0009778575,0.0008851325,0.00057903,0.000859427,0.0007878469,0.00115018,0.001884317],"category_scores_gemma":[0.004449951,0.0008278685,0.001515763,0.0005208523,0.000905356,0.0009288644,0.001489653,0.00142403,0.0002289878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462365,"about_ca_system_score_gemma":0.0009877228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003160969,"about_ca_topic_score_gemma":0.001541166,"domain_scores_codex":[0.9994031,0.0002839152,0.00003227757,0.00007456853,0.0001768187,0.00002929655],"domain_scores_gemma":[0.9974438,0.002055341,0.0001016172,0.000108701,0.0002381778,0.00005237914],"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":[0.00006100299,0.0001062153,0.0004645929,0.0001221947,0.00009822159,0.0001147479,0.00008950617,0.9162423,0.01471273,0.02850513,0.0004281518,0.03905521],"study_design_scores_gemma":[0.00000286196,0.00001191576,0.00005193684,0.000002355321,0.000005206287,0.000009390444,0.000001517812,0.9972098,0.0008584241,0.001627635,0.0002136776,0.000005268818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00875414,0.00009234317,0.9894986,0.00007512331,0.00005599438,0.00004449606,0.00001898578,0.0001698992,0.00129045],"genre_scores_gemma":[0.6111954,0.000458973,0.3814484,0.0001176129,0.0001755506,0.0002728833,0.00009575891,0.0003342486,0.005901263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003160969,"threshold_uncertainty_score":0.008594036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06954115539484788,"score_gpt":0.3652257341649942,"score_spread":0.2956845787701463,"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."}}