{"id":"W4311784524","doi":"10.3390/fuels3040043","title":"Optimization of Solid-State Fermentation of Switchgrass Using White-Rot Fungi for Biofuel Production","year":2022,"lang":"en","type":"article","venue":"Fuels","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada; University of Saskatchewan","keywords":"Phanerochaete; Solid-state fermentation; Fermentation; Trametes versicolor; Food science; Cellulase; Chemistry; Enzymatic hydrolysis; Biomass (ecology); Cellulose; Biofuel; Cellobiose dehydrogenase; Lignocellulosic biomass; Lignin; Chrysosporium; Ethanol fuel; Biotechnology; Botany; Laccase; Biology; Cellobiose; Agronomy; Hydrolysis; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001866649,0.00008643389,0.0001272335,0.0001551651,0.0000824086,0.00000498086,0.00006407779,0.00003064424,0.0001247788],"category_scores_gemma":[0.00001156555,0.00009577925,0.00005469024,0.0002865303,0.00002116885,0.0001413069,0.00002584682,0.0000612735,8.790238e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008146188,"about_ca_system_score_gemma":0.00001826835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006174324,"about_ca_topic_score_gemma":8.228405e-7,"domain_scores_codex":[0.9992901,0.00002453223,0.0002645281,0.000153454,0.0001518792,0.0001154939],"domain_scores_gemma":[0.999633,0.000004633953,0.0001127406,0.0001325738,0.00009539029,0.00002165721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003933819,0.00003316895,0.0004663306,0.0003772189,0.00001950795,8.031961e-8,0.0002736747,0.5393045,0.4579283,0.000004615824,0.0002939734,0.001259289],"study_design_scores_gemma":[0.0006482632,0.0001802001,0.0009145166,0.00002363555,0.00005154232,0.00001002683,0.0007643505,0.1961665,0.7993308,0.0003108357,0.001385539,0.0002138485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025477,0.0002472399,0.0939279,0.0001372056,0.001948331,0.0008336268,0.0001490589,0.0001220092,0.00008692811],"genre_scores_gemma":[0.991905,0.00005083782,0.007586692,0.0000117252,0.00007748233,0.00003194408,0.00009066753,0.00002194398,0.0002236756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.343138,"threshold_uncertainty_score":0.3905764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171964514055299,"score_gpt":0.2496112872673568,"score_spread":0.2278916421268038,"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."}}