{"id":"W2597910058","doi":"10.3183/npprj-2017-32-01-p004-013","title":"An eco-friendly scheme to eliminate silica problems during bamboo biomass fractionation","year":2017,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of Sussex","keywords":"Bamboo; Fractionation; Biomass (ecology); Environmentally friendly; Pulp and paper industry; Scheme (mathematics); Industrial chemistry; Lignin; Environmental science; Chemistry; Materials science; Biochemical engineering; Composite material; Mathematics; Engineering; Agronomy; Organic chemistry; Ecology; Biology","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":[0.0001378191,0.0004781701,0.0002295078,0.0002479938,0.0002245296,0.0002577532,0.0002490886,0.0004275654,0.0007134383],"category_scores_gemma":[0.0001131869,0.0001851742,0.0003332143,0.0001772437,0.0001651209,0.0004137679,0.0002915101,0.0005800428,0.0004000905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568009,"about_ca_system_score_gemma":0.0002806599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004353068,"about_ca_topic_score_gemma":0.001080144,"domain_scores_codex":[0.9999,0.00001178832,0.000007974691,0.00002400311,0.00002650105,0.0000298108],"domain_scores_gemma":[0.999941,0.000008258028,0.00001534473,0.000008283079,0.0000125217,0.00001457096],"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":[0.00005104367,0.00002900223,0.00007768369,0.00004925384,0.000005003804,0.00004116733,0.00002052604,0.0000709601,0.9964858,0.00009723536,0.00005821558,0.003013986],"study_design_scores_gemma":[0.00001068771,0.0001074929,0.0006517579,0.000004316639,0.00001441235,0.00006722975,0.00001230726,0.00045986,0.9964497,0.00004228175,0.00217193,0.000007962223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417546,0.002130651,0.04982326,0.0003114037,0.0002508989,0.0002152382,0.0003725869,0.0003866776,0.004754537],"genre_scores_gemma":[0.9773698,0.0008791438,0.01704671,0.0001467798,0.00003141482,0.00008707807,0.0002429377,0.00003661279,0.004159518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007134383,"threshold_uncertainty_score":0.002386689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07411997080315114,"score_gpt":0.3566567307883287,"score_spread":0.2825367599851775,"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."}}