{"id":"W2994653856","doi":"10.1101/2019.12.23.887034","title":"Genome sequencing and functional characterization of a <i>Dictyopanus pusillus</i> fungal extract offers a promising alternative for lignocellulose pretreatment of oil palm residues","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad Industrial de Santander; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Laccase; Lignin; Lignocellulosic biomass; Biology; Biomass (ecology); Fermentation; ABTS; Solid-state fermentation; Fungus; Microorganism; Chemistry; Botany; Enzyme; Food science; Biochemistry; Bacteria","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":[0.00009913855,0.0004836637,0.0003631223,0.000467875,0.0001902065,0.0003821086,0.00016767,0.0001931082,0.0007595044],"category_scores_gemma":[0.0001945918,0.0001217146,0.0005050383,0.0004730289,0.0001070586,0.0001617079,0.0002260041,0.0003518759,0.0004202752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207315,"about_ca_system_score_gemma":0.0002876502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00327862,"about_ca_topic_score_gemma":0.003795772,"domain_scores_codex":[0.9998832,0.000009506486,0.00001204168,0.00003921615,0.00003400237,0.00002203908],"domain_scores_gemma":[0.9998617,0.00002530603,0.00004188592,0.00001586059,0.00002811484,0.00002716924],"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":[0.00007090079,0.0000170188,0.001405587,0.000102728,0.00001211787,0.0001073206,0.00002414133,0.00005728535,0.9947903,0.00002489526,0.00006707109,0.003320611],"study_design_scores_gemma":[0.00003089876,0.000387437,0.2409336,0.00008416265,0.0002247334,0.002337359,0.0003538269,0.003213947,0.7299979,0.0001072384,0.02229464,0.00003424147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657311,0.002307609,0.008073768,0.0001645985,0.00004403352,0.0001178118,0.02138145,0.0003263871,0.001853241],"genre_scores_gemma":[0.9337879,0.001453501,0.02188207,0.0001095425,0.000021493,0.00009489786,0.03984722,0.0001403095,0.0026631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00327862,"threshold_uncertainty_score":0.006519079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214904242542832,"score_gpt":0.1966941354111394,"score_spread":0.1745450929857111,"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."}}