{"id":"W2050774948","doi":"10.1115/1.2720451","title":"Flow Downstream of a Cluster of Nine Jets","year":2006,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Nozzle; Particle image velocimetry; Jet (fluid); Reynolds number; Mechanics; Flow (mathematics); Cluster (spacecraft); Physics; Turbulence; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001476078,0.0001181731,0.0002886075,0.0002578187,0.000006337776,0.000006852081,0.0001211754,0.00006339039,0.00004237],"category_scores_gemma":[0.00002967788,0.0001128191,0.0001414114,0.0001851852,0.00001339665,0.0001054434,0.00001548035,0.0001741347,0.00000153503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000470444,"about_ca_system_score_gemma":0.00001304911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003750893,"about_ca_topic_score_gemma":0.000001415933,"domain_scores_codex":[0.9990438,0.000005148989,0.0005821745,0.0000435308,0.0001904989,0.0001348538],"domain_scores_gemma":[0.9995984,0.00003916985,0.00008219692,0.0001172303,0.0001137567,0.00004921478],"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":[0.000009641637,0.00002475524,0.0002396247,0.0001496152,0.00003635635,0.000007224078,0.0000465311,0.9099316,0.08723768,0.0001578811,0.0008032152,0.001355872],"study_design_scores_gemma":[0.0006412161,0.00006896575,0.003984849,0.0001775357,0.00003558989,0.00008774975,0.0000106742,0.9773501,0.01651048,0.00001820778,0.0009953371,0.000119338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555449,0.0007737648,0.2418387,0.00002712528,0.0006407553,0.00004971109,0.00001038998,0.00004957421,0.001065124],"genre_scores_gemma":[0.9865101,0.00006587864,0.01315829,0.000002943787,0.000171301,5.08677e-7,0.000002100738,0.00002544763,0.00006345539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2309652,"threshold_uncertainty_score":0.4600629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002589036973069434,"score_gpt":0.1662128758590921,"score_spread":0.1636238388860226,"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."}}