{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094363,0.0004671033,0.0003057019,0.0001585302,0.0002651206,0.0003507924,0.0001851264,0.0002880256,0.001686376],"category_scores_gemma":[0.0004134077,0.0001895211,0.0003579512,0.0002258149,0.0002491674,0.0002438205,0.0001621608,0.0003684612,0.0001610148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311695,"about_ca_system_score_gemma":0.0004988682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004591956,"about_ca_topic_score_gemma":0.008767647,"domain_scores_codex":[0.9998162,0.00002998673,0.00001866354,0.00003063178,0.00003376438,0.00007067534],"domain_scores_gemma":[0.999775,0.00007154491,0.00005708439,0.00001644508,0.00004089863,0.00003905393],"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":[0.002604644,0.0001590562,0.0009863621,0.0001244436,0.00005394908,0.00009297911,0.00006540669,0.0003677792,0.9917117,0.00005092941,0.00006261026,0.003720116],"study_design_scores_gemma":[0.00002252549,0.001288931,0.01111229,0.00001411468,0.00005329229,0.00006710045,0.0001213839,0.0004713038,0.9861484,0.00001731745,0.0006725937,0.00001078506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988028,0.0004792657,0.0001429584,0.00001901381,0.00001631188,0.000005332007,0.00005939953,0.00000474238,0.0004702099],"genre_scores_gemma":[0.9988153,0.0002614841,0.000204178,0.00002030817,0.000005762509,0.00000349871,0.0001094705,0.00000377311,0.0005763103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004591956,"threshold_uncertainty_score":0.009130418,"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."}}