{"id":"W3100855397","doi":"10.1039/d0se01229g","title":"The influence of pre-steaming and lignin distribution on wood pellet robustness and ease of subsequent enzyme-mediated cellulose hydrolysis","year":2020,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"Japan Society for the Promotion of Science; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Steaming; Lignin; Cellulose; Pellet; Hydrolysis; Pulp and paper industry; Enzymatic hydrolysis; Chemistry; Laccase; Hemicellulose; Depolymerization; Materials science; Chemical engineering; Organic chemistry; Enzyme; Food science; Composite material; Engineering","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":[0.0004108243,0.0005088547,0.0002895852,0.000239337,0.0001529316,0.000476876,0.0002082515,0.0002205813,0.002347243],"category_scores_gemma":[0.001210632,0.0001844886,0.0002287929,0.0002980116,0.0002648601,0.0005178299,0.0002412804,0.0005801791,0.000354413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017676,"about_ca_system_score_gemma":0.0001939946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008886124,"about_ca_topic_score_gemma":0.001414953,"domain_scores_codex":[0.9996868,0.00004824451,0.0000334363,0.00007831999,0.00007371818,0.00007939275],"domain_scores_gemma":[0.9991574,0.0004172898,0.0001556635,0.00005725696,0.0001370485,0.00007520788],"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":[0.0003114769,0.00005321759,0.0005608267,0.00005283306,0.00001437041,0.00004443787,0.00003124559,0.0002662768,0.9965271,0.00003196893,0.0000216666,0.002084604],"study_design_scores_gemma":[0.000004709532,0.0002793525,0.004376218,0.000003484155,0.00001312255,0.00002730532,0.00002253827,0.0004860786,0.9945017,0.00001077018,0.0002680247,0.000006624571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976441,0.0003911825,0.001027134,0.00001876993,0.00001242666,0.00001437728,0.0001407744,0.00002417787,0.0007271465],"genre_scores_gemma":[0.9981824,0.0002736187,0.0007410295,0.00001728365,0.000006702728,0.00001174161,0.0001433222,0.00003544374,0.0005885491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002347243,"threshold_uncertainty_score":0.007852256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004573563469153431,"score_gpt":0.1771706708613234,"score_spread":0.17259710739217,"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."}}