{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001322129,0.000139068,0.0001442219,0.00005611518,0.004815662,0.001222967,0.001076308,0.0001065538,0.001165923],"category_scores_gemma":[0.0002801699,0.00005823304,0.00008783293,0.0002366051,0.0001522554,0.001023789,0.0002322268,0.000629354,0.0002911965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172103,"about_ca_system_score_gemma":0.00005040225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007530343,"about_ca_topic_score_gemma":0.00114023,"domain_scores_codex":[0.997718,0.0001562332,0.0002853995,0.0003804349,0.0008004571,0.0006594674],"domain_scores_gemma":[0.9984968,0.00008006802,0.0001378257,0.000249361,0.0005052323,0.0005307319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004310147,0.0001291203,0.003774409,0.000007150722,0.00001204091,0.00001059905,0.00005901305,0.000005255184,0.9327548,0.0001787918,0.001016643,0.06200911],"study_design_scores_gemma":[0.0003112023,0.0007377305,0.7125739,0.00008250142,0.000006164306,0.0001261536,0.0005558313,0.0001482014,0.01799581,0.001396869,0.2657711,0.0002945907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757396,0.0001102619,0.00001137339,0.02007912,0.00008545438,0.0003359744,0.00001692017,0.00003674155,0.003584574],"genre_scores_gemma":[0.997058,0.000191088,0.00028559,0.0001078738,0.0009178745,0.0001031443,0.00001310321,0.000003315356,0.001320036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.914759,"threshold_uncertainty_score":0.9998139,"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."}}