{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553795,0.0005781898,0.0001962977,0.0002540125,0.0003086195,0.0003180835,0.0002147665,0.0001723578,0.001151019],"category_scores_gemma":[0.0001228634,0.0001548927,0.0003176505,0.0004169591,0.0001342549,0.0005243457,0.0002004302,0.0004606007,0.0002055855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295774,"about_ca_system_score_gemma":0.0004639001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004025002,"about_ca_topic_score_gemma":0.01363319,"domain_scores_codex":[0.99991,0.00000961034,0.000007577816,0.00002015931,0.00001880309,0.00003380376],"domain_scores_gemma":[0.9999518,0.0000099977,0.00001197295,0.000005879564,0.000007073736,0.00001331555],"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":[0.0001137721,0.00002594914,0.0002581097,0.0000533379,0.000007183497,0.00006564617,0.00003431005,0.0004022873,0.9962867,0.00006362961,0.00001830047,0.002670807],"study_design_scores_gemma":[0.000003212333,0.0001213133,0.002765068,0.000008347827,0.00001741458,0.00004602431,0.0000875012,0.0006159165,0.9951792,0.00003447413,0.001114505,0.000007106484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995856,0.001073712,0.001393175,0.00003880032,0.00001577769,0.00001546539,0.0001823366,0.00001377257,0.001410899],"genre_scores_gemma":[0.9963565,0.0005978808,0.001133633,0.00001124767,0.000003368293,0.000009212482,0.0002265024,0.000009151509,0.001652666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004025002,"threshold_uncertainty_score":0.008003175,"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."}}