{"id":"W2789321194","doi":"10.1007/s12649-018-0277-y","title":"Multiple Applications of Enzymes Induced by Algal Biomasses from a New Bacillus Isolate to Saccharify Algae and Degrade Chemical Dyes","year":2018,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions","keywords":"Xylanase; Laccase; Cellulase; Reducing sugar; Bacillus licheniformis; Food science; Chemistry; Hydrolysis; Enzyme; Algae; Cellulose; Carboxymethyl cellulose; Lignin; Botany; Sugar; Biology; Biochemistry; Bacteria; Organic chemistry; Bacillus subtilis; Sodium","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":[0.00007375309,0.0001585906,0.0001732358,0.00003651208,0.0001213476,0.00006548886,0.0001291294,0.0001812512,0.00003601544],"category_scores_gemma":[0.00007276626,0.00007967367,0.00002850978,0.000563378,0.00007240602,0.0001830077,0.00007581356,0.00005062355,0.00001119429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001354886,"about_ca_system_score_gemma":0.00001232921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321552,"about_ca_topic_score_gemma":0.0006009518,"domain_scores_codex":[0.9989653,0.00003550519,0.0002658188,0.0003753727,0.0001751438,0.0001829083],"domain_scores_gemma":[0.9993908,0.0001393111,0.0001277777,0.00007070813,0.00009872329,0.0001726679],"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":[0.00002946881,0.00003676429,0.005198975,0.000005654511,0.00001561881,1.10533e-7,0.0001576316,3.78881e-8,0.9516887,0.00006972549,0.0004555796,0.04234175],"study_design_scores_gemma":[0.0003629374,0.0002734606,0.02278482,0.00002472745,0.00003186264,0.000001329482,0.0002691824,0.0003786385,0.972384,0.0003975194,0.002871841,0.0002196339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967543,0.0003168762,0.001479417,0.0007360838,0.00007427457,0.0003388091,0.0002116552,0.00005890528,0.00002960947],"genre_scores_gemma":[0.9976824,0.0000586557,0.001005788,0.00008564733,0.0003794132,0.00002450654,0.0007201444,0.000002574152,0.00004087848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04212212,"threshold_uncertainty_score":0.3509507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534741260117475,"score_gpt":0.2168627941160304,"score_spread":0.2015153815148557,"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."}}