{"id":"W2889451077","doi":"10.1115/gt2018-77168","title":"On the Efficacy of Integrating Structural Struts With Lobed Mixers in Turbofan Engine Exhaust Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Turbofan; Atmospheric duct; Offset (computer science); Nozzle; Automotive engineering; Thrust; Computational fluid dynamics; Propulsive efficiency; Engineering; Flow (mathematics); Computer science; Aerospace engineering; Mechanical engineering; Mechanics; Physics","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":[0.0000941258,0.0001708038,0.0002210119,0.00008170892,0.00004217105,0.00001740033,0.0001257962,0.00003445898,0.00003574434],"category_scores_gemma":[0.00003946516,0.00009182985,0.00002468024,0.00028742,0.0001076174,0.00005298956,0.000008185962,0.00016071,0.000005904714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006289419,"about_ca_system_score_gemma":0.000008312979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852845,"about_ca_topic_score_gemma":0.0004543872,"domain_scores_codex":[0.9992771,0.00002872476,0.0002130364,0.0001270402,0.0001463284,0.0002078017],"domain_scores_gemma":[0.9994558,0.0002752398,0.00001285869,0.0001840453,0.00004417266,0.00002785489],"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":[0.00105569,0.0002181934,0.09212977,0.001901765,0.002848489,0.00006762868,0.07894158,0.5095025,0.04788278,0.2351492,0.005609916,0.02469251],"study_design_scores_gemma":[0.005759139,0.001851073,0.4240183,0.001750728,0.00009588957,0.00002289652,0.01516379,0.4340911,0.1153221,0.0002609088,0.0002614699,0.001402638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901907,0.0001306404,0.001183834,0.00005586473,0.0002169148,0.000300775,0.000005513145,0.00009986587,0.00781592],"genre_scores_gemma":[0.9996162,0.000006705349,0.0002384348,0.00001050911,0.00006648832,0.00001453385,0.000001333142,0.00002323755,0.00002257811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3318885,"threshold_uncertainty_score":0.3744713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009656948182380954,"score_gpt":0.2138653944011104,"score_spread":0.2042084462187295,"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."}}