{"id":"W3168976417","doi":"10.21203/rs.3.rs-465723/v1","title":"Understanding The Structure And Composition of Recalcitrant Oligosaccharides In Ammonia Treated Lignocellulosic Biomass Hydrolysate Using High-Throughput Biotin- Based Glycome Profiling And Mass Spectrometry.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mascoma (Canada)","funders":"Oak Ridge National Laboratory; Great Lakes Bioenergy Research Center; Biological and Environmental Research; National Institute of Food and Agriculture; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Chemistry; Lignocellulosic biomass; Xylose; Arabitol; Biorefining; Enzymatic hydrolysis; Hydrolysate; Pentose; Glycome; Corn stover; Hydrolysis; Biochemistry; Chromatography; Fermentation; Glycan; Organic chemistry; Biorefinery; Raw material","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":[0.0001168862,0.0003496602,0.0001449001,0.0002843151,0.0001508366,0.0002504118,0.0001919789,0.0003294,0.0006166956],"category_scores_gemma":[0.00009986307,0.0001151586,0.0002210765,0.0002156577,0.00009715024,0.0003114975,0.0001767389,0.0003569708,0.0002031161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936761,"about_ca_system_score_gemma":0.0001407244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702454,"about_ca_topic_score_gemma":0.003062282,"domain_scores_codex":[0.9999399,0.000005915873,0.000003284262,0.00001369411,0.00002323651,0.00001384032],"domain_scores_gemma":[0.9999582,0.000005948126,0.00001218489,0.000003053079,0.00001233267,0.000008365896],"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":[0.00001988872,0.000006392453,0.0003639586,0.00002027619,0.000004273498,0.00001302856,0.000006514841,0.00004219204,0.9985167,0.00001626318,0.0000116138,0.0009788473],"study_design_scores_gemma":[0.000005545457,0.00009430826,0.03554871,0.000008627524,0.00002596516,0.0002064174,0.00008086238,0.007638247,0.9545363,0.0001017781,0.001741609,0.00001159293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842276,0.001221398,0.01252298,0.00009178856,0.0000152484,0.00003650275,0.0007702477,0.00007367868,0.00104054],"genre_scores_gemma":[0.972129,0.001317582,0.02198672,0.0001175604,0.00001245198,0.00005139269,0.001756226,0.00002897283,0.002600167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001702454,"threshold_uncertainty_score":0.003385067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07549045385321394,"score_gpt":0.3029117042155625,"score_spread":0.2274212503623485,"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."}}