{"id":"W1981194772","doi":"10.1021/es011099s","title":"Interfacial Mass Transfer in Randomly Packed Towers:  A Confident Correlation for Environmental Applications","year":2001,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Systems and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimensionless quantity; Schmidt number; Froude number; Mass transfer; Sherwood number; Reynolds number; Range (aeronautics); Chemistry; Mass transfer coefficient; Standard deviation; Transfer (computing); Mechanics; Thermodynamics; Tower; Correlation; Statistics; Mathematics; Chromatography; Physics; Computer science; Geometry; Engineering; Structural engineering; Aerospace engineering","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":[0.003026898,0.0007001327,0.0006299907,0.002181425,0.0003575319,0.0008124893,0.0008513093,0.0006840514,0.0008068844],"category_scores_gemma":[0.01001058,0.0003351191,0.0005138051,0.001832465,0.0002324436,0.000894101,0.0005037219,0.0004858993,0.0004491857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283328,"about_ca_system_score_gemma":0.0005203342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089369,"about_ca_topic_score_gemma":0.003369564,"domain_scores_codex":[0.9986278,0.0003260827,0.0001256581,0.000305573,0.0005551188,0.00005976662],"domain_scores_gemma":[0.9951336,0.002350321,0.0004941237,0.0007607436,0.001205604,0.00005567571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007840901,0.0006201339,0.1930503,0.0004718468,0.0002738799,0.0004265902,0.0001505915,0.4785642,0.08802,0.001459711,0.00172086,0.2344577],"study_design_scores_gemma":[0.00001044403,0.000240694,0.05109071,0.00002137844,0.00004710818,0.0001567786,0.00004247873,0.9176659,0.02939139,0.0004408582,0.0008495288,0.00004271829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7848552,0.000715099,0.2099268,0.00006349213,0.00003807884,0.0001028623,0.001442208,0.0009347878,0.001921512],"genre_scores_gemma":[0.961638,0.000139169,0.03680665,0.00001339361,0.00000790694,0.00004564977,0.001111301,0.00002491454,0.0002129712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003089369,"threshold_uncertainty_score":0.01600796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003885598803216087,"score_gpt":0.1803257800184941,"score_spread":0.176440181215278,"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."}}