{"id":"W2988214197","doi":"10.1007/s12649-019-00856-x","title":"Effect of Mechanical Pretreatment for Enzymatic Hydrolysis of Woody Residues, Corn Stover and Alfalfa","year":2019,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"","keywords":"Corn stover; Biorefinery; Lignin; Pulp and paper industry; Chemistry; Stover; Sugar; Enzymatic hydrolysis; Biomass (ecology); Refining (metallurgy); Lignocellulosic biomass; Hemicellulose; Agronomy; Hydrolysis; Food science; Raw material; Biochemistry; Organic chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448977,0.0000880681,0.000172732,0.00006756589,0.00001615662,0.000006234647,0.00002500362,0.00007561278,0.00001043525],"category_scores_gemma":[0.00001127788,0.00006722083,0.00003377717,0.0001005025,0.00001690847,0.00006779777,0.00001412364,0.00001964868,0.000001435242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248617,"about_ca_system_score_gemma":0.000003304361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009788711,"about_ca_topic_score_gemma":0.000001083092,"domain_scores_codex":[0.9995376,0.00002489009,0.0001550674,0.0001264169,0.00008379596,0.00007224997],"domain_scores_gemma":[0.9997556,0.00004475849,0.00005027994,0.000098167,0.00002452522,0.00002662475],"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":[0.0001739909,0.00002857032,0.003211612,0.003068993,0.0001119793,1.499101e-7,0.0001049698,0.00007960233,0.9873025,0.0001274741,0.0001184266,0.005671754],"study_design_scores_gemma":[0.001148871,0.0008749012,0.0006036418,0.00005531438,0.0001113995,0.000001567638,0.00003930436,0.03005705,0.9667246,0.00005473102,0.0002420418,0.0000865643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973444,0.000278921,0.001615809,0.00002461054,0.0001870927,0.0004510898,0.00001696216,0.0000262191,0.0000548704],"genre_scores_gemma":[0.9994934,0.00009941782,0.0002449897,0.000002749458,0.00002816644,0.000007541217,0.00004045492,0.000009689022,0.00007362983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02997745,"threshold_uncertainty_score":0.2741186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005210926267856253,"score_gpt":0.1996565777625524,"score_spread":0.1944456514946961,"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."}}