{"id":"W1994812687","doi":"10.4061/2011/238549","title":"Recovery of <i>Bacillus licheniformis</i> Alkaline Protease from Supernatant of Fermented Wastewater Sludge Using Ultrafiltration and Its Characterization","year":2011,"lang":"en","type":"article","venue":"Biotechnology Research International","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Bacillus licheniformis; Ultrafiltration (renal); Wastewater; Alkaline protease; Fermentation; Protease; Microbiology; Chromatography; Chemistry; Pulp and paper industry; Food science; Effluent; Medicine; Waste management; Bacteria; Biology; Enzyme; Biochemistry; Bacillus subtilis","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":[0.0002861493,0.0005998994,0.0005463944,0.0003052372,0.0001875317,0.0005132356,0.0002090592,0.0003854546,0.000531515],"category_scores_gemma":[0.0003829753,0.000137668,0.0004222142,0.0004515977,0.0001531538,0.0003946954,0.0003084701,0.0004612383,0.000358595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470145,"about_ca_system_score_gemma":0.0002447074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612447,"about_ca_topic_score_gemma":0.001379175,"domain_scores_codex":[0.9996644,0.00005295857,0.0000406343,0.0000471707,0.0001331838,0.000061525],"domain_scores_gemma":[0.9998558,0.00001889389,0.00004664025,0.00001262302,0.00004618849,0.00001981286],"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":[0.00005210955,0.00002351146,0.000411423,0.00007248708,0.000004963305,0.0000451698,0.00001399362,0.00005264984,0.9963307,0.00000962025,0.00002230942,0.002961043],"study_design_scores_gemma":[0.000004771478,0.000164112,0.004741904,0.00001147536,0.00001085018,0.0002464239,0.00002137951,0.0002682862,0.9935219,0.00001269601,0.000990482,0.000005791301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894673,0.002539597,0.006025816,0.0001867079,0.00002390043,0.0000360025,0.0005023709,0.0001166056,0.001101696],"genre_scores_gemma":[0.9845327,0.002083943,0.008581486,0.0000647931,0.00001189158,0.00003867733,0.002084838,0.00004692417,0.002554958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001612447,"threshold_uncertainty_score":0.003206074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060012018498495,"score_gpt":0.2998924970091597,"score_spread":0.2398804785106647,"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."}}