{"id":"W2615710087","doi":"10.1007/s12010-017-2507-3","title":"Pretreatment of Hardwood and Miscanthus with Trametes versicolor for Bioenergy Conversion and Densification Strategies","year":2017,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Eastern Illinois University; U.S. Environmental Protection Agency","keywords":"Trametes versicolor; Miscanthus; Biomass (ecology); Bioenergy; Hardwood; Lignin; Chemistry; Pulp and paper industry; Food science; Biofuel; Lignocellulosic biomass; Hydrolysis; Botany; Biotechnology; Laccase; Agronomy; Biology; Biochemistry; Organic chemistry; Enzyme","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":[0.0000333485,0.0001106638,0.0001261657,0.00003109259,0.0001265732,0.00003036702,0.00006240626,0.0002529477,0.000001918047],"category_scores_gemma":[0.00000518632,0.00008853085,0.00001051921,0.00002254767,0.0004995356,0.00003821083,0.000032325,0.00005748458,1.709017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001032658,"about_ca_system_score_gemma":0.000009112285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008712327,"about_ca_topic_score_gemma":0.000001471596,"domain_scores_codex":[0.9995719,0.000001403119,0.00007850174,0.0002168099,0.00003172476,0.00009962561],"domain_scores_gemma":[0.9996968,0.00001142114,0.00005687723,0.0001876292,0.00001650208,0.00003079149],"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":[0.00009898799,0.00001656456,0.0001130265,0.000427984,0.00005199335,4.399227e-7,0.00003189564,0.000001698683,0.9888648,0.00079536,0.00006265281,0.00953453],"study_design_scores_gemma":[0.0007328872,0.0001414556,0.0003757479,0.00001506989,0.00004157499,0.00001521254,0.0008763994,0.0003103883,0.9959967,0.0001428673,0.00124117,0.0001105273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981897,0.0005036495,0.0001794343,0.0006751782,0.0000292484,0.0001646436,0.00001743064,0.00006753344,0.0001731593],"genre_scores_gemma":[0.9978202,0.0008352701,0.001268463,0.000006926837,0.00001487931,0.00001358332,0.00001461377,0.000006247024,0.0000198463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009424003,"threshold_uncertainty_score":0.3610184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007229578014101131,"score_gpt":0.1935822609619813,"score_spread":0.1863526829478802,"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."}}