{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002874091,0.00009597711,0.0001168009,0.0002265706,0.00004404641,0.000008982062,0.000203564,0.0002539952,0.0001272719],"category_scores_gemma":[0.0002255316,0.00009300059,0.0000324364,0.0001356007,0.0001591101,0.00003067478,0.000137954,0.0001350292,0.000003583542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093631,"about_ca_system_score_gemma":0.00005821589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005490137,"about_ca_topic_score_gemma":0.000005676499,"domain_scores_codex":[0.9989546,0.00007275004,0.0003126514,0.0002936227,0.0002205187,0.0001458913],"domain_scores_gemma":[0.9991888,0.000006191205,0.0001512523,0.0001996037,0.0004168408,0.00003733733],"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":[0.0003595329,0.0001268166,0.001379583,0.00001900713,0.0000727895,0.000001137477,0.00009081413,0.000001196915,0.9965855,0.0004091656,0.00001494248,0.0009394385],"study_design_scores_gemma":[0.0003996776,0.0002349318,0.00275562,0.000028215,0.000007072546,0.00001499264,0.00007405513,0.0004174177,0.9941311,0.00009456367,0.001761048,0.00008128813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974995,0.00008430888,0.001238152,0.0003488915,0.0001781818,0.0002692699,0.0003011214,0.00001346114,0.00006714327],"genre_scores_gemma":[0.9970512,0.0006234742,0.0007183326,0.00001859425,0.0001131346,0.00001875472,0.001190777,0.00001327416,0.0002524843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002454458,"threshold_uncertainty_score":0.3792454,"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."}}