{"id":"W3195701136","doi":"10.1002/cjce.24292","title":"Multi‐enzymatic recovery of fungal cellulases ( <scp> <i>Aspergillus niger</i> </scp> ) through solid‐state fermentation of sugarcane bagasse","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bagasse; Cellulase; Sonication; Aspergillus niger; Chemistry; Solid-state fermentation; Extraction (chemistry); Fermentation; Chromatography; Food science; Enzyme; Biochemistry; Biotechnology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002724571,0.0006535044,0.000500291,0.0002575439,0.0001623183,0.0005551137,0.0002180297,0.000300908,0.0004082347],"category_scores_gemma":[0.0002803125,0.0001430705,0.0004206165,0.0004435538,0.0001672057,0.0004762023,0.0002334312,0.0004532211,0.0001760878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445425,"about_ca_system_score_gemma":0.0003029174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930964,"about_ca_topic_score_gemma":0.003117393,"domain_scores_codex":[0.9997292,0.00003886618,0.00002776189,0.00004972933,0.0001096543,0.00004473427],"domain_scores_gemma":[0.9998959,0.00002005674,0.00002864298,0.00001147553,0.00002924976,0.00001473097],"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":[0.00003565801,0.00001214802,0.0001064359,0.0000309537,0.000007120613,0.00002197283,0.000007900758,0.00009375848,0.9980779,0.000007194147,0.000007283435,0.00159172],"study_design_scores_gemma":[0.000001409039,0.00006955326,0.0008270004,0.000003228458,0.00001187986,0.00002442052,0.00001369483,0.0003310223,0.9984391,0.000004233819,0.0002713971,0.000002996815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893695,0.001626183,0.008220547,0.00004774073,0.00001527519,0.00002502684,0.000155307,0.00006532314,0.0004749584],"genre_scores_gemma":[0.9923126,0.0008780374,0.005265821,0.00002378309,0.000004443475,0.00001486072,0.000239761,0.00002511463,0.001235465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001930964,"threshold_uncertainty_score":0.003839433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098838356110414,"score_gpt":0.1941540104781782,"score_spread":0.183165626917074,"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."}}