{"id":"W2028341858","doi":"10.2166/wst.2008.007","title":"Bacillus licheniformis proteases as high value added products from fermentation of wastewater sludge: pre-treatment of sludge to increase the performance of the process","year":2008,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Bacillus licheniformis; Fermentation; Chemistry; Hydrolysis; Pulp and paper industry; Raw material; Protease; Wastewater; Effluent; Sewage treatment; Food science; Proteases; Sewage sludge; Waste management; Biochemistry; Bacteria; Biology; Enzyme; 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":[0.000117826,0.000112921,0.0001325826,0.0001115423,0.0001458812,0.000005283579,0.0004352091,0.00007732384,0.00001018489],"category_scores_gemma":[0.00007629789,0.00005691802,0.0000285071,0.0004912301,0.0007068071,0.00002162871,0.0001503776,0.00003785349,0.000003358941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248083,"about_ca_system_score_gemma":0.0001498366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166921,"about_ca_topic_score_gemma":0.000004384058,"domain_scores_codex":[0.9990065,0.00002813571,0.0002482933,0.0003276122,0.0002101206,0.0001793572],"domain_scores_gemma":[0.9989703,0.000001505898,0.0001462336,0.0005643156,0.0002918628,0.00002574998],"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":[0.00009792411,0.0001257074,0.00827071,0.00002231518,0.00001067184,1.774652e-7,0.001094096,0.0001314915,0.9896374,0.00001860452,0.000008831184,0.0005821206],"study_design_scores_gemma":[0.0002523465,0.0007295337,0.01132656,0.00001467324,0.00001430147,0.00001754358,0.0001271489,0.00002298027,0.9870083,0.00004713524,0.0003672344,0.00007223082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977466,0.00003665489,0.00001789132,0.001367748,0.0001020423,0.0006779296,0.00001792628,0.00001304696,0.00002011684],"genre_scores_gemma":[0.9990968,0.00004594536,0.0002454972,0.00004541428,0.00003583295,0.0001118782,0.00003320532,0.000006906839,0.0003785198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003055846,"threshold_uncertainty_score":0.260426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00719204366727332,"score_gpt":0.2302502810689523,"score_spread":0.223058237401679,"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."}}