{"id":"W3215160415","doi":"10.21203/rs.3.rs-698252/v2","title":"Polystyrene Sulfonate is Effective for Enhancing Biomass Enzymatic Saccharification Under Green Liquor Pretreatment in Bioenergy Poplar","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China; Government of Jiangsu Province; Nanjing Forestry University","keywords":"Bioenergy; Biomass (ecology); Biofuel; Chemistry; Enzymatic hydrolysis; Hydrolysis; Pulp and paper industry; Polystyrene sulfonate; Lignocellulosic biomass; Lignin; Biotechnology; Biochemistry; Agronomy; Biology; Organic chemistry; Engineering; Polymer","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":[0.0001335046,0.0004486782,0.0002305748,0.0002404142,0.0001270459,0.0002838276,0.0001444748,0.0002334938,0.0009427601],"category_scores_gemma":[0.0001211922,0.0001289197,0.0003110853,0.0002573137,0.0001536429,0.0002944671,0.0002028349,0.0003398685,0.0002015919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675706,"about_ca_system_score_gemma":0.0002187767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006932383,"about_ca_topic_score_gemma":0.001583739,"domain_scores_codex":[0.9998822,0.00001965504,0.00001183249,0.00002052892,0.00004076391,0.00002502393],"domain_scores_gemma":[0.9999011,0.00001114476,0.00004114726,0.000005629081,0.00001882219,0.00002222832],"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":[0.00007132628,0.00002108709,0.0001785634,0.00007700605,0.000005673315,0.00002736432,0.000008345748,0.0001646312,0.9979172,0.00002462656,0.00001614325,0.001487884],"study_design_scores_gemma":[0.000003133795,0.0002778695,0.00116639,0.000005715759,0.00001163579,0.00002122427,0.00001789639,0.0003769999,0.9975345,0.00001105904,0.0005699433,0.000003629757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954014,0.001775964,0.001658407,0.00005502015,0.00002051783,0.00001277201,0.0001317289,0.00004471384,0.0008994969],"genre_scores_gemma":[0.9973531,0.0007053643,0.001039403,0.00002019612,0.000005748281,0.000008905532,0.0001086487,0.000007798771,0.0007508829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009427601,"threshold_uncertainty_score":0.003153861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03776663310099805,"score_gpt":0.3300826380422967,"score_spread":0.2923160049412987,"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."}}