{"id":"W3014531314","doi":"10.1021/acssuschemeng.9b07589","title":"Elucidation of Changes in Cellulose Ultrastructure and Accessibility in Hardwood Fractionation Processes with Carbohydrate Binding Modules","year":2020,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Kungl. Skogs- och Lantbruksakademien; Austrian Science Fund; Svenska Forskningsrådet Formas; Royal Swedish Academy of Sciences; Kungl. Ingenjörsvetenskapsakademien","keywords":"Cellulose; Hemicellulose; Fractionation; Hardwood; Chemistry; Xylan; Lignin; Carbohydrate; Chemical engineering; Crystallinity; Nanocellulose; Dissolution; Polysaccharide; Materials science; Biochemistry; Chromatography; Organic chemistry; Botany; Biology; Crystallography","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":[0.0002436753,0.0004066894,0.0002490287,0.0001532394,0.0001442746,0.0003032927,0.0001626776,0.0002756505,0.0005932943],"category_scores_gemma":[0.0001362787,0.0001775297,0.0002678644,0.0001304859,0.0001960843,0.0002921589,0.0001964516,0.0005401918,0.0001372519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681554,"about_ca_system_score_gemma":0.0001354537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006152897,"about_ca_topic_score_gemma":0.001569595,"domain_scores_codex":[0.9999155,0.000008220793,0.000004825359,0.00002139975,0.00002621717,0.00002394794],"domain_scores_gemma":[0.9998811,0.00002633972,0.00002602655,0.00001652532,0.00002649815,0.00002347785],"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":[0.00001710907,0.000006883078,0.0002072723,0.00002140749,0.000003237447,0.00001210343,0.00001185634,0.00002895125,0.9988997,0.00001605175,0.000003910089,0.0007714526],"study_design_scores_gemma":[0.000002091591,0.00004586486,0.005148205,0.000001499539,0.000006811849,0.00002229584,0.00001498124,0.0004750641,0.9938505,0.00001807457,0.0004117824,0.000002757601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914452,0.000997267,0.00702824,0.00003502368,0.000009349784,0.00002106584,0.00008196777,0.00002489436,0.0003570507],"genre_scores_gemma":[0.9887618,0.0008692713,0.008235643,0.00007431363,0.00001011024,0.00003072965,0.0001695027,0.00002750677,0.001821061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006152897,"threshold_uncertainty_score":0.001984775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007851723228191745,"score_gpt":0.2265504991904898,"score_spread":0.2186987759622981,"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."}}