{"id":"W284862191","doi":"10.1016/j.biortech.2015.04.107","title":"Enhancing hemicelluloses removal from a softwood sulfite pulp","year":2015,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Tianjin Science and Technology Committee; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Government of Canada","keywords":"Pulp (tooth); Softwood; Dissolving pulp; Pulp and paper industry; Fractionation; Sulfite; Chemistry; Fraction (chemistry); Chromatography; Cellulose; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001064024,0.0003762044,0.0001939648,0.0001843571,0.0001681494,0.0003228779,0.0001550893,0.0001721172,0.0007835631],"category_scores_gemma":[0.00009526299,0.00009245304,0.0002786905,0.0002098523,0.0001012515,0.000249285,0.000157326,0.0003304613,0.0001876193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011898,"about_ca_system_score_gemma":0.0003136972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027751,"about_ca_topic_score_gemma":0.002904624,"domain_scores_codex":[0.9999214,0.000007710389,0.00000716084,0.00001147601,0.00002812945,0.00002403017],"domain_scores_gemma":[0.9999551,0.000008511125,0.00000922109,0.000003726393,0.0000124707,0.00001103849],"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":[0.00004233911,0.00003084724,0.0001031707,0.00002509014,0.000003089298,0.00003435075,0.00001080508,0.0001400349,0.9977063,0.00003620199,0.00001128173,0.001856432],"study_design_scores_gemma":[0.000001343569,0.00003946912,0.0003767043,0.000001080302,0.000005117242,0.00001403407,0.00000825805,0.0003432975,0.9989819,0.000007218443,0.000220459,0.000001117833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970094,0.000175131,0.001760606,0.00002060899,0.000008281178,0.000007060875,0.0000385737,0.00002158764,0.0009586649],"genre_scores_gemma":[0.995998,0.0002174665,0.001541132,0.00001063296,0.000003800942,0.00000507056,0.00007041423,0.000009923717,0.002143604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001027751,"threshold_uncertainty_score":0.002621293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311569365724675,"score_gpt":0.1996377254250837,"score_spread":0.1865220317678369,"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."}}