{"id":"W2981101646","doi":"10.1002/cctc.201901480","title":"Enzymatic Oxidation of Lignin: Challenges and Barriers Toward Practical Applications","year":2019,"lang":"en","type":"article","venue":"ChemCatChem","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"National Science Foundation","keywords":"Lignin; Hemicellulose; Cellulose; Lignocellulosic biomass; Biomass (ecology); Raw material; Chemistry; Organic chemistry; Renewable resource; Substrate (aquarium); Biochemical engineering; Pulp and paper industry; Renewable energy; Materials science; Biology; Engineering; Ecology","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":[0.000168072,0.00008448985,0.0001318152,0.000009199312,0.00003001138,0.00001250156,0.00008791034,0.00009711827,0.00009950093],"category_scores_gemma":[0.00009930409,0.00003858006,0.00002846078,0.0001324199,0.00004407098,0.0001481881,0.00003542417,0.00007515686,0.00006766703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001417388,"about_ca_system_score_gemma":0.00001207531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000103455,"about_ca_topic_score_gemma":0.00001153232,"domain_scores_codex":[0.99933,0.00002354396,0.0001642461,0.0002077973,0.0001557056,0.0001186533],"domain_scores_gemma":[0.9994341,0.00022832,0.0001087334,0.00006930833,0.00006843766,0.00009116432],"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":[0.000008308064,0.00004812627,0.001471257,0.00007548807,0.00001402101,2.236871e-7,0.0005796305,1.359664e-7,0.9534618,0.002725712,0.0004331588,0.04118215],"study_design_scores_gemma":[0.0002180774,0.0001253135,0.03039225,0.00003014957,0.00002718483,0.000007308293,0.004946319,0.0000542001,0.9544631,0.001853006,0.007675624,0.0002074572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992947,0.000639879,0.000008618564,0.003587699,0.00002920838,0.0002931583,0.000005662125,0.00004394382,0.002444801],"genre_scores_gemma":[0.9986171,0.0004951273,0.000541094,0.00006070936,0.00007151008,0.00004744675,0.00007070542,0.000001032518,0.00009525035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0409747,"threshold_uncertainty_score":0.1573249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289026250609914,"score_gpt":0.2409284725044215,"score_spread":0.2120258474434301,"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."}}