{"id":"W2195736538","doi":"10.1039/c5ra20794k","title":"Fundamentals of mass transfer and kinetics for biosorption of oil and grease from agro-food industrial effluent by Serratia marcescens SA30","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security","funders":"Universiti Teknologi Malaysia","keywords":"Serratia marcescens; Biosorption; Effluent; Grease; Kinetics; Mass transfer; Environmental science; Chemistry; Pulp and paper industry; Environmental chemistry; Environmental engineering; Physics; Chromatography; Engineering; Adsorption","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004857683,0.0007491072,0.0004202041,0.0004062387,0.0002040784,0.0003222936,0.001151842,0.0006094609,0.001817434],"category_scores_gemma":[0.0003352494,0.0005043934,0.0005509006,0.0003367121,0.0003071029,0.0005646336,0.0002418486,0.0009014211,0.00134235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413296,"about_ca_system_score_gemma":0.0004419351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008712,"about_ca_topic_score_gemma":0.001448003,"domain_scores_codex":[0.9997839,0.00002394977,0.00001817705,0.00004323215,0.000104231,0.00002640726],"domain_scores_gemma":[0.9998977,0.00003803226,0.00001593489,0.00001306002,0.0000279556,0.00000716878],"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":[0.00007922321,0.00005869502,0.0001511762,0.0003225439,0.00001245328,0.00008436292,0.00008054643,0.002019621,0.9790799,0.004823901,0.0003467789,0.01294068],"study_design_scores_gemma":[0.00002113668,0.0004971773,0.001582807,0.00002938856,0.00001800012,0.0003847939,0.00005704225,0.02450463,0.9552618,0.002443712,0.01516035,0.00003906461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4462302,0.04362197,0.4838115,0.001809511,0.0005340619,0.0003974071,0.001885109,0.001540778,0.02016939],"genre_scores_gemma":[0.8675042,0.03182848,0.08191895,0.0001870188,0.0001474871,0.000499,0.001183852,0.0000943335,0.01663663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002008712,"threshold_uncertainty_score":0.006079912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362667272307452,"score_gpt":0.2515827470933867,"score_spread":0.2279560743703122,"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."}}