{"id":"W2132387734","doi":"10.1186/1754-6834-6-110","title":"The fate of lignin during hydrothermal pretreatment","year":2013,"lang":"en","type":"article","venue":"Biotechnology for Biofuels","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of Science; Ford Motor Company; Fujian Agriculture and Forestry University; Biological and Environmental Research; Georgia Institute of Technology; U.S. Department of Energy","keywords":"Lignin; Depolymerization; Chemistry; Populus trichocarpa; Enzymatic hydrolysis; Lignocellulosic biomass; Corn stover; Hydrolysis; Organic chemistry; Chromatography; Biochemistry","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":[0.00003085244,0.0001124488,0.0001163418,0.00003308968,0.00006682445,0.00001058312,0.0002110908,0.0002623441,0.000005711435],"category_scores_gemma":[0.000008656237,0.00007877539,0.00006310749,0.00007639136,0.0001183955,0.00002981336,0.00003429669,0.0000840728,0.00002927819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002724864,"about_ca_system_score_gemma":0.000004990426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005585252,"about_ca_topic_score_gemma":9.858428e-7,"domain_scores_codex":[0.9994394,0.000002680501,0.0001613593,0.0001092239,0.00004378929,0.0002435512],"domain_scores_gemma":[0.9996256,0.00002829751,0.00003062266,0.0002766814,0.00001398161,0.00002479877],"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":[0.000001763292,0.00001264384,0.0001393174,0.00008132746,0.00007930645,4.990382e-7,0.00002173023,0.000007452044,0.9935958,0.0004448905,0.001400259,0.004214954],"study_design_scores_gemma":[0.0002749854,0.00003771366,0.00008930579,0.00001258388,0.000008778682,0.000004628344,0.0000411802,0.0001912118,0.9959513,0.001036432,0.00226322,0.00008869351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962429,0.00111978,0.00004171949,0.0004407892,0.0001510182,0.0003802736,0.00001499135,0.0003855076,0.001223021],"genre_scores_gemma":[0.9986516,0.0001917498,0.0005016779,0.000005432001,0.00003059484,0.0001699984,0.000002775545,0.00002195382,0.0004241974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004126261,"threshold_uncertainty_score":0.3212367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003901007724691726,"score_gpt":0.1799423112340613,"score_spread":0.1760413035093696,"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."}}