{"id":"W3199410397","doi":"10.1002/cssc.202101492","title":"Engineered Sorghum Bagasse Enables a Sustainable Biorefinery with <i>p</i>‐Hydroxybenzoic Acid‐Based Deep Eutectic Solvent","year":2021,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Biological and Environmental Research; National Institute of Food and Agriculture; Battelle; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Korea Institute of Science and Technology; UT-Battelle; Center for Bioenergy Innovation; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Biorefinery; Lignin; Deep eutectic solvent; Biomass (ecology); Chemistry; Bagasse; Cellulose; Pulp and paper industry; Biofuel; Organic chemistry; Lignocellulosic biomass; Biotechnology; Raw material; Eutectic system; Agronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001059465,0.0004386025,0.0003854775,0.00008325708,0.000104406,0.0001211295,0.0002477066,0.0002279865,0.0001272388],"category_scores_gemma":[0.00004998023,0.0004233241,0.0001435623,0.0006211241,0.00005701759,0.0001700446,0.0000724222,0.0003866523,0.00004028636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267587,"about_ca_system_score_gemma":0.0002037568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005925218,"about_ca_topic_score_gemma":0.000006587755,"domain_scores_codex":[0.9980942,0.00001187114,0.0002943524,0.0004436104,0.0002981455,0.000857799],"domain_scores_gemma":[0.998798,0.00005983003,0.00004433162,0.0006652006,0.0001674592,0.0002652223],"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":[0.00001423311,0.0001318946,0.0001094234,0.001276141,0.000172189,0.0006710386,0.0001331972,0.002947484,0.9870345,0.0001349028,0.007225331,0.0001496544],"study_design_scores_gemma":[0.00120373,0.00003164296,0.00001127274,0.00009152992,0.0000718726,0.00006024604,0.0005339145,0.005743592,0.9740529,0.00006428383,0.01757404,0.0005609483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157246,0.01282541,0.01015952,0.0006370638,0.0005620922,0.0005389253,0.00003729271,0.003184982,0.05633015],"genre_scores_gemma":[0.9936471,0.00005224506,0.003478666,0.0001273513,0.0002394798,0.0001035243,0.0001286739,0.0001336695,0.002089299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07792252,"threshold_uncertainty_score":0.9998218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004335871232124872,"score_gpt":0.1665991874092792,"score_spread":0.1622633161771543,"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."}}