{"id":"W3009446707","doi":"10.1039/c9ra10405d","title":"Effects of mixed agro-residues (corn crop waste) on lignin-degrading enzyme activities, growth, and quality of<i>Lentinula edodes</i>","year":2020,"lang":"en","type":"article","venue":"RSC Advances","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Special Fund for Agro-scientific Research in the Public Interest; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Education Department of Jilin Province; People's Government of Jilin Province","keywords":"Lentinula; Lignin; Crop; Chemistry; Crop residue; Food science; Agronomy; Biotechnology; Biology; Agriculture; Organic chemistry","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":[0.0001691652,0.0001840593,0.000377265,0.00001744645,0.0000872393,0.00002330722,0.00018466,0.00008617045,0.00001066236],"category_scores_gemma":[0.0003986178,0.00008363071,0.00008582325,0.0003202595,0.0001370591,0.0003329754,0.00006288584,0.0001218362,0.000003023269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009906697,"about_ca_system_score_gemma":0.000006821364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009097916,"about_ca_topic_score_gemma":0.000138245,"domain_scores_codex":[0.998574,0.0002116046,0.0003428937,0.0003424745,0.0003114507,0.0002175864],"domain_scores_gemma":[0.9981681,0.001306803,0.0003224864,0.00005010361,0.00004608637,0.0001064775],"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":[0.00009559117,0.00007571139,0.00598632,0.0002357022,0.00001796255,0.000001990466,0.0001834115,0.000008989053,0.9824535,0.000743802,0.0001584946,0.01003853],"study_design_scores_gemma":[0.0002660673,0.0004162607,0.03920836,0.0001071624,0.00001615847,4.795029e-7,0.000378881,0.00001720099,0.9587167,0.0003188922,0.0003800124,0.000173805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965376,0.002347462,0.00002525625,0.0003659248,0.0001330528,0.0002171746,0.00004818069,0.00005963937,0.0002656881],"genre_scores_gemma":[0.9985673,0.0008491101,0.0002000809,0.0001309086,0.0001742352,0.00001122965,0.00003550576,0.000002234359,0.0000293829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03322205,"threshold_uncertainty_score":0.3410361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203899926817626,"score_gpt":0.2391503232296824,"score_spread":0.2171113239615061,"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."}}