{"id":"W2476617430","doi":"10.1016/j.indcrop.2016.06.019","title":"Effect of alkaline pre-extraction of hemicelluloses and silica on kraft pulping of bamboo (Neosinocalamus affinis Keng)","year":2016,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology; University of British Columbia","funders":"University of British Columbia","keywords":"Kraft process; Kraft paper; Pulp and paper industry; Pulp (tooth); Sodium hydroxide; Chemistry; Bamboo; Raw material; Extraction (chemistry); Soda pulping; Kappa number; Cellulose; Lignin; Ultimate tensile strength; Tear resistance; Nuclear chemistry; Materials science; Chromatography; Composite material; 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":[0.0001699515,0.0003915103,0.0003050777,0.0001530461,0.0002645131,0.0001978046,0.0001824783,0.0002452378,0.00186177],"category_scores_gemma":[0.0002600285,0.0001926198,0.0002793835,0.0001555303,0.0002558932,0.0003730589,0.0001862121,0.0004367803,0.0002525419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640637,"about_ca_system_score_gemma":0.0003536681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955991,"about_ca_topic_score_gemma":0.004994361,"domain_scores_codex":[0.9998988,0.00001426154,0.00001057074,0.00001962809,0.00001815537,0.00003860773],"domain_scores_gemma":[0.9998192,0.0000727694,0.00002739653,0.00001257615,0.00002618497,0.00004177225],"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":[0.001558471,0.0001112997,0.0004362036,0.000217399,0.0000258073,0.00008390266,0.00009019083,0.0001798305,0.9939024,0.00004464604,0.00004669628,0.00330311],"study_design_scores_gemma":[0.00001783114,0.0004033634,0.004579422,0.00001064232,0.00003530713,0.00003949451,0.00006618629,0.0002323607,0.994029,0.00001582538,0.0005614989,0.00000909093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980122,0.0008920295,0.0002510168,0.0000223793,0.00002510164,0.00001010772,0.00007186827,0.000009088618,0.0007061732],"genre_scores_gemma":[0.997564,0.0005511696,0.0003997486,0.00003528991,0.00001075412,0.000007530095,0.0001158968,0.000007486331,0.00130826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955991,"threshold_uncertainty_score":0.006228268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695306404974222,"score_gpt":0.3072048632016779,"score_spread":0.2802517991519357,"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."}}