{"id":"W1602304575","doi":"10.15376/biores.6.3.3469-3480","title":"Removal of hemicelluloses by NaOH pre-extraction from aspen chips prior to mechanical pulping","year":2011,"lang":"en","type":"article","venue":"BioResources","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Xylan; Extraction (chemistry); Yield (engineering); Cellulose; Pulp and paper industry; Materials science; Hemicellulose; Raw material; Chromatography; Chemical engineering; Composite material; Chemistry; Organic chemistry; Engineering","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":[0.0003744471,0.0004774604,0.0005217317,0.0001264172,0.0001627176,0.0004619272,0.0002441662,0.000256085,0.0004325987],"category_scores_gemma":[0.0004182588,0.0002417631,0.0003494111,0.0002247757,0.0001672949,0.0004430007,0.000177616,0.0004541269,0.0001227999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420694,"about_ca_system_score_gemma":0.0003376575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009601456,"about_ca_topic_score_gemma":0.00288559,"domain_scores_codex":[0.9997541,0.00004221638,0.00002687559,0.00004574484,0.00009142212,0.00003951237],"domain_scores_gemma":[0.9997626,0.00008725256,0.0000793302,0.00001666411,0.00003585181,0.00001829646],"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":[0.0002131936,0.00005541222,0.0002887581,0.00009304321,0.000009085542,0.00001599714,0.00001000186,0.0004435054,0.9970132,0.00001716301,0.00000385731,0.001836782],"study_design_scores_gemma":[0.000006922042,0.0003156119,0.00175465,0.000002662061,0.0000103826,0.0000116888,0.000008051026,0.0008909028,0.9968585,0.000009523174,0.0001268585,0.000004343795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997003,0.0003328011,0.002352931,0.000009113738,0.00000481516,0.00002814579,0.00005015746,0.000006490167,0.0002124861],"genre_scores_gemma":[0.9895851,0.0007120141,0.008566211,0.00002501833,0.000004188598,0.0000429318,0.0001460527,0.000009067609,0.0009093235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009601456,"threshold_uncertainty_score":0.001980305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898097594313115,"score_gpt":0.212412463807763,"score_spread":0.1934314878646318,"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."}}