{"id":"W3154746329","doi":"10.1021/acs.biomac.1c00140","title":"Nanomechanics of Lignin–Cellulase Interactions in Aqueous Solutions","year":2021,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Foundation for Innovation; National Natural Science Foundation of China; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fujian Provincial Department of Science and Technology; Fujian Provincial Finance Department","keywords":"Cellulase; Lignin; Cellulose; Biorefinery; Hydrolysis; Chemistry; Adsorption; Chemical engineering; Organic chemistry; Aqueous solution; Enzymatic hydrolysis; Raw material","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":[0.0002140228,0.0003241811,0.0001431539,0.0002777957,0.0003618452,0.0003422665,0.0003007416,0.0004559688,0.001362211],"category_scores_gemma":[0.0003072599,0.0002124109,0.0001724697,0.000171459,0.0004204988,0.0005069434,0.0002202722,0.0005035775,0.0002206348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382133,"about_ca_system_score_gemma":0.0001647407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008354647,"about_ca_topic_score_gemma":0.0007646315,"domain_scores_codex":[0.9998062,0.00001559555,0.00001303117,0.00004799103,0.0000757618,0.00004140314],"domain_scores_gemma":[0.9998254,0.00006927971,0.00004768573,0.00001393121,0.00002997225,0.00001378533],"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":[0.00002936814,0.00001712004,0.0004234393,0.00006073189,0.00000765595,0.000079169,0.00006933366,0.0005612073,0.9959704,0.000441618,0.00009566192,0.002244487],"study_design_scores_gemma":[0.00003462334,0.0002158589,0.0153565,0.00001785244,0.00002499015,0.0002131354,0.0002823462,0.04125308,0.9381454,0.001246818,0.003152871,0.00005651061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886532,0.001263874,0.007433438,0.0002014253,0.00003757274,0.00002532435,0.0002755564,0.0001128173,0.001996678],"genre_scores_gemma":[0.9970074,0.0004505207,0.001883422,0.00005123302,0.00001350849,0.00003143266,0.00009741094,0.000008398377,0.0004565919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362211,"threshold_uncertainty_score":0.004557014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857132567405093,"score_gpt":0.2216953257747251,"score_spread":0.2031240001006742,"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."}}