{"id":"W2152432561","doi":"10.1016/j.biortech.2012.09.010","title":"Effect of different pretreatments on delignification pattern and enzymatic hydrolysability of miscanthus, oil palm biomass and typha grass","year":2012,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Steno Diabetes Center Copenhagen","keywords":"Miscanthus; Chemistry; Biomass (ecology); Raw material; Bioenergy; Biofuel; Food science; Typha; Enzymatic hydrolysis; Hydrolysis; Agronomy; Lignocellulosic biomass; Pulp and paper industry; Botany; Organic chemistry; Biology; Fermentation; Biotechnology; Wetland","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":[0.0002985479,0.0007032131,0.0004316054,0.0002232535,0.000222427,0.0003399111,0.0002208958,0.000337033,0.001762834],"category_scores_gemma":[0.0007804772,0.0003388103,0.0004531436,0.0004158292,0.0003278658,0.0004638061,0.0002331163,0.0005798429,0.0002459522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447015,"about_ca_system_score_gemma":0.0004583712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448937,"about_ca_topic_score_gemma":0.003482511,"domain_scores_codex":[0.9997466,0.00004940224,0.0000326818,0.00005349782,0.00003664501,0.00008121914],"domain_scores_gemma":[0.9994984,0.000178808,0.0001020322,0.00004471507,0.00007970753,0.00009643886],"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":[0.001456116,0.0000899555,0.0005883613,0.00008305841,0.00003098863,0.00007644595,0.00007782365,0.0001863937,0.9955801,0.00002765905,0.00003004217,0.001773089],"study_design_scores_gemma":[0.00001916708,0.0005089386,0.005849016,0.000006386592,0.00004218774,0.00004856006,0.0000716223,0.0003236222,0.9927998,0.00001864448,0.0003014443,0.00001074692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983283,0.0005562739,0.0004917314,0.00003612713,0.00003453438,0.00001171444,0.0001618954,0.00001385808,0.0003656475],"genre_scores_gemma":[0.9978833,0.000327256,0.0006480824,0.00003946897,0.00001102821,0.00001341165,0.000354181,0.00001751342,0.000705714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002448937,"threshold_uncertainty_score":0.005897284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004916203760001555,"score_gpt":0.2060407270723532,"score_spread":0.2011245233123516,"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."}}