{"id":"W1968721842","doi":"10.1021/jf903616y","title":"Lignin Extraction from Straw by Ionic Liquids and Enzymatic Hydrolysis of the Cellulosic Residues","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Lignin; Ionic liquid; Cellulose; Chemistry; Straw; Extraction (chemistry); Cellulosic ethanol; Biorefinery; Enzymatic hydrolysis; Hemicellulose; Cellulase; Bioproducts; Hydrolysis; Lignocellulosic biomass; Organic chemistry; Chromatography; Biofuel; Raw material; Biotechnology; Catalysis; Inorganic 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":[0.0002078528,0.0005729358,0.0003290699,0.0002858235,0.0001748365,0.0002766124,0.0002473838,0.0003036822,0.0005090371],"category_scores_gemma":[0.000235304,0.000152793,0.0003107482,0.0003409632,0.0002065979,0.000325166,0.0002150796,0.0003526119,0.0002839421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388428,"about_ca_system_score_gemma":0.0003013636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007611082,"about_ca_topic_score_gemma":0.001483187,"domain_scores_codex":[0.9998531,0.0000262921,0.00001295273,0.0000237179,0.00004766691,0.00003620298],"domain_scores_gemma":[0.9999171,0.00001650396,0.00002951152,0.000006866946,0.00001697716,0.00001301592],"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":[0.00002379296,0.000005656727,0.0001267479,0.00002073471,0.000003443743,0.00001396771,0.000004993848,0.00004484334,0.99843,0.00001463114,0.000006101006,0.00130515],"study_design_scores_gemma":[0.000001943144,0.00005251984,0.001082672,0.000002429691,0.000006223532,0.00004189767,0.000007722932,0.0001841449,0.9983145,0.00001110587,0.0002927964,0.000002064131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990072,0.001436683,0.00727941,0.00004588914,0.00001110172,0.00003736946,0.0001488643,0.00003922184,0.0009294652],"genre_scores_gemma":[0.9833723,0.001306156,0.01212139,0.00005565773,0.000009659134,0.000040626,0.0007197033,0.00002884072,0.00234586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007611082,"threshold_uncertainty_score":0.001732886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00319225381175071,"score_gpt":0.1618279907038641,"score_spread":0.1586357368921134,"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."}}