{"id":"W2791507544","doi":"10.1007/s11947-018-2088-3","title":"Potential for Value-Added Utilization of Bamboo Shoot Processing Waste—Recommendations for a Biorefinery Approach","year":2018,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biorefinery; Bamboo; Shoot; Biomass (ecology); Wastewater; Value added; Pulp and paper industry; Nutrient; Environmental science; Waste management; Biotechnology; Biofuel; Biology; Botany; Agronomy; Engineering; Environmental engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008751666,0.000113343,0.000165109,0.00004284619,0.000366044,0.00003077523,0.0001881768,0.0001856962,0.00001054201],"category_scores_gemma":[0.00002507421,0.00004925129,0.00004525279,0.0004301873,0.0002450636,0.00007751274,0.00006150535,0.00004509263,4.780704e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000562622,"about_ca_system_score_gemma":0.00001216306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008803496,"about_ca_topic_score_gemma":0.00002578936,"domain_scores_codex":[0.9992061,0.000005113219,0.0002236363,0.0003001867,0.00005502791,0.0002099194],"domain_scores_gemma":[0.9995306,0.00001812997,0.0001303021,0.00005313092,0.0002368879,0.00003097823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008354369,0.0002521947,0.0001685207,0.000166186,0.00002473719,1.63253e-8,0.00007101743,0.000001167026,0.4344156,0.01792327,0.000545848,0.5463479],"study_design_scores_gemma":[0.001835777,0.008542934,0.0009570939,0.0001886355,0.0002316067,0.00003766122,0.009404285,0.02955272,0.7795393,0.06327712,0.105418,0.001014843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723879,0.000665639,0.01685348,0.0083517,0.00006148047,0.0009817504,0.000305734,0.000186109,0.0002061728],"genre_scores_gemma":[0.9920391,0.00003145628,0.007036544,0.00008798292,0.0001879001,0.0003729929,0.0001628586,0.000002264177,0.00007887977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.545333,"threshold_uncertainty_score":0.2815351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686791867654841,"score_gpt":0.26455424354674,"score_spread":0.2176863248701916,"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."}}