{"id":"W3094264445","doi":"10.1016/j.biortech.2020.124283","title":"Integrating phosphotungstic acid-assisted prerefining with cellulase treatment for enhancing the reactivity of kraft-based dissolving pulp","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Cellulase; Phosphotungstic acid; Dissolving pulp; Chemistry; Pulp (tooth); Kraft process; Adsorption; Kraft paper; Pulp and paper industry; Dissolution; Chromatography; Chemical engineering; Nuclear chemistry; Cellulose; Organic chemistry; Medicine; Catalysis","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":[0.0001585499,0.0003947229,0.0002712725,0.0001677722,0.0001356078,0.0003660828,0.0002497208,0.0003207982,0.0006699459],"category_scores_gemma":[0.0001675228,0.0001729752,0.0002811776,0.0001993929,0.0001549394,0.0004236424,0.0001685399,0.000503072,0.0002245718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234929,"about_ca_system_score_gemma":0.000320871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008463137,"about_ca_topic_score_gemma":0.002282133,"domain_scores_codex":[0.9998733,0.00001110012,0.000009480083,0.00002786272,0.00003934882,0.00003888587],"domain_scores_gemma":[0.9999408,0.0000113289,0.00001561736,0.000007040168,0.000017183,0.000008141698],"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":[0.0000390684,0.00001833211,0.0000626082,0.00003311189,0.000003414061,0.00001904016,0.00001031842,0.0001446156,0.9972928,0.00005800592,0.00001593373,0.002302643],"study_design_scores_gemma":[8.710187e-7,0.00003374089,0.0001951335,9.797228e-7,0.000003592283,0.00001285535,0.000005000874,0.0004445374,0.9990959,0.000005148182,0.0002001866,0.000002113664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910406,0.001137354,0.006343904,0.00004030321,0.00003160485,0.00001678366,0.00006528711,0.00006168411,0.001262477],"genre_scores_gemma":[0.9944013,0.0007454642,0.003292963,0.00002227255,0.000006342781,0.000008079886,0.00007566938,0.00002109624,0.001426799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008463137,"threshold_uncertainty_score":0.002241254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191853659202525,"score_gpt":0.2783674986305319,"score_spread":0.2464489620385066,"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."}}