{"id":"W4295700902","doi":"10.15376/biores.17.4.6131-6147","title":"Impact of pre-extraction on xylose recovery from two lignocellulosic agro-wastes","year":2022,"lang":"en","type":"article","venue":"BioResources","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia","funders":"","keywords":"Xylose; Furfural; Hydrolysis; Chemistry; Xylitol; Bioconversion; Husk; Nuclear chemistry; Yield (engineering); Extraction (chemistry); Sulfuric acid; Chromatography; Food science; Fermentation; Biochemistry; Organic chemistry; Materials science; Catalysis; Botany; Biology","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":[0.0003115218,0.0007132089,0.0006166159,0.0002480103,0.0001470694,0.0004214781,0.0002018735,0.0003317571,0.0007490466],"category_scores_gemma":[0.0003910021,0.0002063046,0.0003659089,0.0003168484,0.0001871587,0.0003201548,0.00030105,0.0005326287,0.0002836382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619317,"about_ca_system_score_gemma":0.0002466765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007778413,"about_ca_topic_score_gemma":0.002101741,"domain_scores_codex":[0.999663,0.00005897206,0.00003796315,0.00006131411,0.0001144135,0.00006433904],"domain_scores_gemma":[0.9998631,0.00004540757,0.00003312048,0.00001300793,0.00002973145,0.00001560138],"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":[0.0001316155,0.00003089349,0.0001731707,0.00008435778,0.000008857087,0.00003886826,0.00001217249,0.0001104321,0.9977034,0.000009036835,0.00001025092,0.001686929],"study_design_scores_gemma":[0.000002545839,0.0001794236,0.001473755,0.000006610889,0.0000125295,0.00003981063,0.00002003755,0.0001884765,0.9977213,0.000006405068,0.0003449376,0.000004228452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960132,0.0009364304,0.001984383,0.00003038415,0.00001281963,0.00002820056,0.0001974098,0.0000255265,0.0007717522],"genre_scores_gemma":[0.9924297,0.001099652,0.004503955,0.0000489532,0.000006415821,0.00003825689,0.0005354887,0.00003389696,0.001303777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007778413,"threshold_uncertainty_score":0.002505839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094761058941563,"score_gpt":0.2336704566722878,"score_spread":0.2227228460828721,"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."}}