{"id":"W2031652674","doi":"10.1080/01919510701549236","title":"Artificial Neural Networks Modeling of Ozone Bubble Columns: Mass Transfer Coefficient, Gas Hold-Up, and Bubble Size","year":2007,"lang":"en","type":"article","venue":"Ozone Science and Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bubble; Dimensionless quantity; Mass transfer coefficient; Artificial neural network; Mass transfer; Sauter mean diameter; Coefficient of determination; Perceptron; Mechanics; Chemistry; Materials science; Thermodynamics; Mathematics; Chromatography; Physics; Statistics; Artificial intelligence; Computer science","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":[0.0009108668,0.0001966303,0.0002421484,0.0001606538,0.0001514732,0.0001031233,0.0001591046,0.0000809892,0.000004728385],"category_scores_gemma":[0.0000544412,0.0002134209,0.00003431201,0.0006929234,0.0001326915,0.000309192,0.00004198002,0.0002029215,6.218077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005178333,"about_ca_system_score_gemma":0.00001965006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003943531,"about_ca_topic_score_gemma":0.00002184546,"domain_scores_codex":[0.9984268,0.000003273954,0.0003396717,0.0002900689,0.000306215,0.0006339517],"domain_scores_gemma":[0.9994722,0.00006534152,0.00001345241,0.0001667487,0.00008365885,0.0001986101],"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":[0.000006413195,0.000006593294,0.00008234088,0.00005159993,0.000005961447,0.000004038784,0.0002011954,0.8247333,0.1723388,0.0005304332,0.000004008871,0.002035374],"study_design_scores_gemma":[0.0001797604,0.00003713069,0.0002259485,0.00005337677,0.00001361784,0.00001419746,0.0001259655,0.9956926,0.003359222,0.00002755865,0.00003224678,0.0002384264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6187501,0.0006267124,0.3798512,0.0000107019,0.0003994098,0.00009011453,0.000002679478,0.00009250349,0.0001766138],"genre_scores_gemma":[0.9978262,0.000197439,0.001818124,0.00001344555,0.0000876694,0.000004166323,0.000001431345,0.00003257678,0.00001894926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790761,"threshold_uncertainty_score":0.8703053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008107593033829706,"score_gpt":0.1914936335123302,"score_spread":0.1833860404785005,"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."}}