{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000484361,0.00008039144,0.0000963505,0.0001123516,0.0000298852,0.00001017741,0.00005911893,0.00004477831,0.00008594111],"category_scores_gemma":[0.00001464153,0.00008785723,0.00005610922,0.0003047741,0.00002497525,0.00006920103,0.00003822255,0.0000738619,0.00004816196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179458,"about_ca_system_score_gemma":0.00002432352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135125,"about_ca_topic_score_gemma":0.00004320739,"domain_scores_codex":[0.9994633,0.00002190304,0.0001746906,0.0001307288,0.00006583542,0.0001435672],"domain_scores_gemma":[0.9997286,0.00001064302,0.0000199469,0.0001604431,0.00004280148,0.00003754685],"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":[0.000002320743,0.00006443996,0.00001962907,0.00007016657,0.00001480465,0.00004106373,0.00005930326,0.00006330387,0.994455,0.0005173642,0.001595453,0.003097165],"study_design_scores_gemma":[0.0001664125,0.00001067301,0.00006052598,0.00002995769,0.00000712788,0.00005820942,0.0002081462,0.003426937,0.976292,0.00020381,0.01943377,0.0001024167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985899,0.004311969,0.002445675,0.0006951625,0.001552093,0.0001344266,0.0000525373,0.0002418174,0.004667371],"genre_scores_gemma":[0.9983672,0.0001987319,0.001117629,0.0000284684,0.0000310221,0.000004623957,0.00002733004,0.00001223019,0.000212698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01816297,"threshold_uncertainty_score":0.3582714,"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."}}