{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001703974,0.0001425566,0.0001774874,0.00004608504,0.00009053455,0.0000229135,0.00009628028,0.00008927182,0.000005616351],"category_scores_gemma":[0.0001080273,0.0001141184,0.00003490441,0.0003050888,0.0001284962,0.0001272485,0.00007089345,0.0001067337,4.578812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004910769,"about_ca_system_score_gemma":0.00002759592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001218328,"about_ca_topic_score_gemma":0.000002567039,"domain_scores_codex":[0.9991224,0.00004530682,0.0002405932,0.0002039707,0.000156101,0.0002315874],"domain_scores_gemma":[0.9994676,0.0000719528,0.00007537672,0.0001588967,0.0001164701,0.0001097722],"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":[0.000840689,0.0002063787,0.001509295,0.006145131,0.0003441323,0.00008177139,0.00297505,0.4780283,0.4944385,0.006247691,0.002359769,0.006823319],"study_design_scores_gemma":[0.0007662566,0.0002764602,0.001313219,0.00005649996,0.00006195491,0.000003619967,0.00287437,0.02620686,0.9523113,0.000124216,0.01573481,0.0002704451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972301,0.001653144,0.0004172581,0.0003896857,0.00003567828,0.0001200792,0.00001516675,0.00005424354,0.00008463171],"genre_scores_gemma":[0.9987715,0.0008088981,0.00001215288,0.00003276987,0.00003538487,0.00000963904,0.00003127516,0.0000131542,0.0002851972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4578728,"threshold_uncertainty_score":0.4653612,"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."}}