{"id":"W1968191491","doi":"10.2166/wst.2012.018","title":"Radial distribution modeling of liquid-phase phenol concentration in a liquid–solid fluidized bed photoreactor","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Mass transfer; Fluidized bed; Phenol; Volumetric flow rate; Chemistry; Chromatography; Photocatalysis; Penetration (warfare); RADIUS; Titanium dioxide; Mass transfer coefficient; Carbon dioxide; Analytical Chemistry (journal); Materials science; Thermodynamics; Catalysis; Composite material; Organic chemistry","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":[0.0007034587,0.0001607194,0.0002326117,0.000527023,0.00007153532,0.00001376453,0.0003435155,0.0002041698,0.0000174599],"category_scores_gemma":[0.00006536682,0.0001389637,0.00002510329,0.00184549,0.0004876736,0.0005918167,0.00008481385,0.0002177357,0.000008480526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762509,"about_ca_system_score_gemma":0.00005737317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378036,"about_ca_topic_score_gemma":3.001891e-7,"domain_scores_codex":[0.9984698,0.00001114572,0.0005006439,0.0002167801,0.000198288,0.0006033172],"domain_scores_gemma":[0.9994174,0.000005431598,0.00005306273,0.0002850964,0.0001996511,0.00003932317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006514382,0.00006701084,0.0000562932,0.00001227025,0.000003601377,9.255776e-7,0.0006875524,0.00004717288,0.9913749,0.006817061,0.00002399856,0.0008440788],"study_design_scores_gemma":[0.0005937611,0.0001914843,0.000002385824,0.00002485161,0.000005145309,0.000009457862,0.0001148264,0.0221498,0.9760919,0.0002432604,0.0004144567,0.0001586625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358284,0.00009892967,0.2630938,0.00007044739,0.0002308444,0.0002410248,0.00001568794,0.0003175813,0.0001032574],"genre_scores_gemma":[0.9989933,0.00001472388,0.0007535823,0.00001994337,0.00004642814,0.00006158788,0.00009434127,0.00001466175,0.000001389676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2631649,"threshold_uncertainty_score":0.5666777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378768463507665,"score_gpt":0.2689152182988162,"score_spread":0.2551275336637396,"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."}}