{"id":"W2026767670","doi":"10.1115/ajk2011-03061","title":"Flow Field Investigation in a Water Treatment Reactor Using Computational Fluid Dynamics","year":2011,"lang":"en","type":"article","venue":"ASME-JSME-KSME 2011 Joint Fluids Engineering Conference: Volume 1, Symposia – Parts A, B, C, and D","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; C-M Concrete Products","keywords":"Computational fluid dynamics; Photocatalysis; Fluent; Pressure drop; Pollutant; Mechanics; Inlet; Materials science; Flow (mathematics); Drop (telecommunication); Fluid dynamics; Environmental science; Nuclear engineering; Chemistry; Mechanical engineering; Catalysis; Engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005103591,0.0006192488,0.0006523931,0.000471256,0.0001450428,0.0001768723,0.0002432284,0.0003903618,0.0009177569],"category_scores_gemma":[0.00005856789,0.000556888,0.0001433985,0.0001776025,0.0001192372,0.0006300619,0.0001042287,0.0003149076,0.000133254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715239,"about_ca_system_score_gemma":0.0001612664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402009,"about_ca_topic_score_gemma":0.0001641577,"domain_scores_codex":[0.9969777,0.0002065334,0.0009305183,0.0007867137,0.0003590232,0.0007395224],"domain_scores_gemma":[0.9985932,0.0001169346,0.0001260383,0.0005838747,0.0002174254,0.0003625911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006495187,0.001268715,0.08386324,0.0007743771,0.001248851,0.0002998694,0.05389643,0.1534949,0.4894351,0.1895081,0.00160788,0.023953],"study_design_scores_gemma":[0.001321907,0.0003631017,0.01031446,0.0001434457,0.000116439,0.00006525801,0.0001892729,0.9430472,0.03930378,0.002168301,0.002106597,0.000860224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531288,0.000256184,0.1415349,0.0005901919,0.001061794,0.0006855882,0.00004265455,0.0004002298,0.002299652],"genre_scores_gemma":[0.932781,0.00008463086,0.06559367,0.0001389494,0.0001759218,0.0001263502,0.0003276407,0.00009711356,0.00067477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7895523,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716322292081888,"score_gpt":0.2360506102939355,"score_spread":0.1888873873731167,"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."}}