{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004783636,0.00007652107,0.0001068221,0.000006984264,0.00003902168,0.00002005475,0.00006346815,0.00009496268,0.0000259907],"category_scores_gemma":[0.000007249016,0.00003861947,0.00005255352,0.00005069471,0.00003885023,0.0001010473,0.0000136417,0.0002761365,2.812508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008017474,"about_ca_system_score_gemma":0.000004037434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003588218,"about_ca_topic_score_gemma":0.000001373129,"domain_scores_codex":[0.9995911,0.000005737662,0.0001847286,0.00005823813,0.0001023992,0.00005778517],"domain_scores_gemma":[0.9997375,0.00001409786,0.0001098029,0.00005293424,0.00003756356,0.00004809542],"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":[0.000003844128,0.00001313898,0.0001508651,0.00008246252,0.0000396789,1.222185e-7,0.00006774341,0.000007370325,0.9975753,3.818491e-7,0.001851888,0.0002072034],"study_design_scores_gemma":[0.0001659995,0.00003657008,0.01055238,0.00003512663,0.00004904443,0.00006968682,0.0002892801,0.00002141646,0.988333,0.00003204046,0.0003548042,0.00006064158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978163,0.001453459,0.000001232806,0.0003858632,0.000166318,0.00002187674,0.000007766237,0.000008504816,0.0001387012],"genre_scores_gemma":[0.9992567,0.0003328293,0.00005331817,0.000005075986,0.0002187564,2.958454e-7,0.000002886352,0.000002746296,0.0001274045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040151,"threshold_uncertainty_score":0.1574856,"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."}}