{"id":"W2983941061","doi":"10.3390/su11216175","title":"Valorizing Waste Lignocellulose-Based Furniture Boards by Phosphoric Acid and Hydrogen Peroxide (Php) Pretreatment for Bioethanol Production and High-Value Lignin Recovery","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"Sichuan University; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Biorefinery; Cellulose; Lignin; Chemistry; Hydrolysis; Biofuel; Pulp and paper industry; Phosphoric acid; Hydrogen peroxide; Biomass (ecology); Enzymatic hydrolysis; Fermentation; Ethanol fuel; Cellulase; Biorefining; Fractionation; Organic chemistry; Waste management; Raw material; Agronomy","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":[0.000123342,0.0007764135,0.0002609148,0.0001688317,0.0001227001,0.0002889762,0.0001831782,0.0002542601,0.0004689108],"category_scores_gemma":[0.00009023245,0.000191672,0.0003978116,0.0002231858,0.0001573261,0.0002569971,0.0002841222,0.0004046327,0.0002352794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664711,"about_ca_system_score_gemma":0.0002619827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008219974,"about_ca_topic_score_gemma":0.001738633,"domain_scores_codex":[0.999911,0.00001173175,0.000006265949,0.00001772215,0.00002334543,0.00002996441],"domain_scores_gemma":[0.9999723,0.000002715245,0.00000872948,0.000003123866,0.000004533435,0.000008571698],"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":[0.00002347692,0.00001554522,0.0001134301,0.00002481083,0.000005170516,0.00004307968,0.000007970886,0.0002042799,0.9981238,0.0000363064,0.000005610359,0.001396659],"study_design_scores_gemma":[0.000007826228,0.0001663374,0.002188785,0.000003252293,0.00002215409,0.0000940157,0.00001825338,0.001311301,0.9955355,0.00003803707,0.0006087713,0.000005733123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897814,0.0006160499,0.008439498,0.00003415432,0.00001395458,0.00002811095,0.00008055479,0.00004918255,0.0009571078],"genre_scores_gemma":[0.9941779,0.0005638656,0.004272495,0.00001642724,0.000003994572,0.00001467767,0.0001480229,0.00001334,0.0007891723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008219974,"threshold_uncertainty_score":0.001634419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004243273024341592,"score_gpt":0.1953105581699087,"score_spread":0.1910672851455671,"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."}}