{"id":"W4319065309","doi":"10.1016/j.fuel.2023.127648","title":"Radial flow tubular membrane bioreactor for enhanced enzymatic hydrolysis of lignocellulosic waste biomass","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"United Arab Emirates University","keywords":"Bioreactor; Substrate (aquarium); Lignocellulosic biomass; Biomass (ecology); Membrane bioreactor; Chemistry; Membrane reactor; Product inhibition; Hydrolysis; Enzymatic hydrolysis; Chromatography; Biofuel; Pulp and paper industry; Yield (engineering); Membrane; Chemical engineering; Materials science; Biochemistry; Enzyme; Biotechnology; Organic chemistry; Agronomy; Non-competitive inhibition; Biology","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":[0.0004287897,0.0004666639,0.0004900637,0.0002196744,0.0002760497,0.0005155749,0.0006362931,0.0005775364,0.0005503572],"category_scores_gemma":[0.0001941893,0.0001806512,0.000571755,0.0002315422,0.0001591682,0.0004289892,0.0002882874,0.0006409279,0.0006081565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651064,"about_ca_system_score_gemma":0.0005219041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763199,"about_ca_topic_score_gemma":0.001863751,"domain_scores_codex":[0.9998246,0.00003073982,0.00001604276,0.00004029867,0.00005689395,0.00003143925],"domain_scores_gemma":[0.999944,0.000009145889,0.00001565872,0.000005548648,0.0000149955,0.00001069367],"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":[0.0001120679,0.00005889203,0.00009202249,0.00004407743,0.000005573805,0.00004732839,0.00001162569,0.0002360854,0.9966131,0.0001046461,0.00004332878,0.002631327],"study_design_scores_gemma":[0.00002538481,0.0003119404,0.0009942407,0.000006824863,0.00002230091,0.0001263768,0.00002652915,0.004220298,0.9930863,0.0000324733,0.001136223,0.00001121859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835469,0.001370902,0.01348367,0.0001590912,0.00006707512,0.00003402763,0.0001817961,0.0002558037,0.0009008076],"genre_scores_gemma":[0.9841797,0.001096294,0.01130474,0.00004063176,0.00001946984,0.00003326673,0.0002252087,0.00002298569,0.003077756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001763199,"threshold_uncertainty_score":0.003505945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169069397150973,"score_gpt":0.2041375658026764,"score_spread":0.1924468718311667,"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."}}