{"id":"W2046224939","doi":"10.1016/j.biombioe.2011.06.007","title":"The mechanism of fiber cutting during enzymatic hydrolysis of wood biomass","year":2011,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Enzymatic hydrolysis; Fiber; Hydrolysis; Softwood; Cellulose; Materials science; Lignin; Cellulase; Composite material; Pulp (tooth); Dislocation; Cellulose fiber; Chemistry; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003706026,0.0004368411,0.0002616068,0.0003063473,0.0004827674,0.0005825027,0.0008304212,0.0006978618,0.001533192],"category_scores_gemma":[0.0002888462,0.0003450773,0.0004704897,0.0001303439,0.0004617559,0.001039902,0.0003089713,0.000715808,0.0003345199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577161,"about_ca_system_score_gemma":0.0002803919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005664995,"about_ca_topic_score_gemma":0.0004373849,"domain_scores_codex":[0.999821,0.00001368378,0.000006566424,0.00004124835,0.00004490235,0.00007263661],"domain_scores_gemma":[0.9998356,0.0000611193,0.00003707822,0.00002191317,0.00002146995,0.00002275126],"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":[0.0003096861,0.000089503,0.001222521,0.00026416,0.0000300657,0.0005187271,0.0001421705,0.001181555,0.9759758,0.007028911,0.0003091627,0.01292786],"study_design_scores_gemma":[0.00001727937,0.0001921769,0.004903643,0.00001724917,0.00001898846,0.0004663257,0.00009750297,0.006852632,0.9843186,0.001384123,0.001707481,0.00002394418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699787,0.004323312,0.01801752,0.0004274439,0.000224057,0.00009665878,0.0001457748,0.0001129734,0.00667334],"genre_scores_gemma":[0.9947199,0.0007280367,0.002139705,0.0000416617,0.0000193768,0.0000206824,0.00008448955,0.000008886011,0.002237343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001533192,"threshold_uncertainty_score":0.00512898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149212547178188,"score_gpt":0.1764873980896,"score_spread":0.1649952726178181,"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."}}