{"id":"W3195626656","doi":"10.1016/j.jenvman.2021.113539","title":"Enhancement of lignocellulosic biomass anaerobic digestion by optimized mild alkaline hydrogen peroxide pretreatment for biorefinery applications","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Akdeniz Üniversitesi","keywords":"Methane; Lignocellulosic biomass; Biorefinery; Chemistry; Pulp and paper industry; Biofuel; Biomass (ecology); Anaerobic digestion; Bioenergy; Renewable energy; Waste management; Cellulose; Organic chemistry; Agronomy; Raw material; Engineering","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":[0.00009724199,0.0003061529,0.0001900911,0.0001148181,0.0001102265,0.0002501572,0.0001218301,0.0001570574,0.0005459173],"category_scores_gemma":[0.00008456183,0.000118345,0.0002327345,0.0001565602,0.00009357754,0.0001753541,0.0001436936,0.0002803125,0.000105506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771166,"about_ca_system_score_gemma":0.0002518194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009773001,"about_ca_topic_score_gemma":0.002801342,"domain_scores_codex":[0.9999437,0.000006041523,0.000003560228,0.000006984003,0.00002033736,0.00001930837],"domain_scores_gemma":[0.9999787,0.000003943764,0.000005709212,0.000001369037,0.000006379554,0.000003918547],"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":[0.00007588767,0.00002921868,0.0001313136,0.00003569206,0.000004162564,0.00002315503,0.000009287029,0.000292639,0.9973516,0.00004482606,0.00001915592,0.001983069],"study_design_scores_gemma":[0.000005877865,0.00008968107,0.002062686,0.000002333237,0.00001189962,0.00003100374,0.00001718225,0.001332298,0.9959459,0.00002280259,0.0004745746,0.000003806917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966684,0.0005070523,0.001974016,0.00003746042,0.00001132714,0.000009932802,0.0000651282,0.0000168766,0.0007097513],"genre_scores_gemma":[0.9984007,0.0003058738,0.0007057615,0.000007211328,0.0000020635,0.000004885929,0.00006053429,0.000003931113,0.000509045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009773001,"threshold_uncertainty_score":0.001943171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006927920123228777,"score_gpt":0.1934413042809822,"score_spread":0.1865133841577534,"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."}}