{"id":"W2017735406","doi":"10.1002/cjce.21746","title":"Influence of pretreatment conditions on composition of liquid hydrolysate and subsequent enzymatic saccharification of remaining solids","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hydrolysate; Xylose; Chemistry; Hydrolysis; Furfural; Dry matter; Enzymatic hydrolysis; Yield (engineering); Biomass (ecology); Acetic acid; Sugar; Food science; Chromatography; Biochemistry; Fermentation; Animal science; Agronomy; Catalysis; Materials science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0003815136,0.0009010749,0.000659406,0.0003066302,0.0002545036,0.0005864313,0.0002727893,0.0003798246,0.001675966],"category_scores_gemma":[0.0007131558,0.0003219352,0.0003977,0.0004569882,0.0002982435,0.000461225,0.0002608347,0.0006334598,0.0004043329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913856,"about_ca_system_score_gemma":0.0004918594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008586944,"about_ca_topic_score_gemma":0.001644831,"domain_scores_codex":[0.9995335,0.0001127484,0.00006665659,0.0000840918,0.0001255323,0.00007740593],"domain_scores_gemma":[0.9996165,0.0001195946,0.0001129475,0.00003298498,0.0000688483,0.00004899416],"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":[0.0002761889,0.00004665014,0.0002551023,0.00007710366,0.00001235756,0.00004130212,0.0000190648,0.0001134162,0.9978176,0.00001220319,0.00001300997,0.001315914],"study_design_scores_gemma":[0.00001038488,0.0003259383,0.003233547,0.00001026548,0.00003016673,0.00004752976,0.00003048163,0.0002523145,0.9955948,0.000009841274,0.0004476776,0.000007041604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933442,0.002150429,0.002977083,0.00006561753,0.00005965122,0.00008423,0.0002816522,0.00005148974,0.0009857152],"genre_scores_gemma":[0.9928964,0.001622045,0.00407047,0.00005745226,0.0000199835,0.00005757632,0.000554293,0.00004637157,0.0006753999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675966,"threshold_uncertainty_score":0.005606651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009762877659762735,"score_gpt":0.1984424316060568,"score_spread":0.1886795539462941,"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."}}