{"id":"W4409470005","doi":"10.22452/mjs.vol44no1.1","title":"Lignin and Cellulose Nanofibers from Bambusa vulgaris Schrad (Bamboo): An Extraction, Preparation and Characterization Study","year":2025,"lang":"en","type":"article","venue":"Malaysian Journal of Science","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College","funders":"","keywords":"Bambusa; Bamboo; Lignin; Cellulose; Nanofiber; Extraction (chemistry); Characterization (materials science); Chemistry; Materials science; Pulp and paper industry; Composite material; Organic chemistry; Nanotechnology; Engineering","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":[0.00009399205,0.0002151799,0.000123391,0.0003158549,0.0001564631,0.000142601,0.00006586094,0.0001771893,0.0005046504],"category_scores_gemma":[0.00009947424,0.00006994844,0.0001275841,0.0001690395,0.00007441013,0.0002280674,0.00007837067,0.0001840389,0.0001335626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006769416,"about_ca_system_score_gemma":0.00008663751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006347474,"about_ca_topic_score_gemma":0.001533711,"domain_scores_codex":[0.9999583,0.000004131085,0.000002882634,0.000009864705,0.00001743693,0.000007431139],"domain_scores_gemma":[0.9999415,0.00001246108,0.00001579487,0.000003058758,0.00001417172,0.00001297811],"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":[0.000009946961,0.000009326579,0.0001486074,0.00002954073,0.000001615228,0.00005246134,0.00001100307,0.00001381468,0.998809,0.00000769667,0.000004916112,0.000902001],"study_design_scores_gemma":[0.000006718375,0.0001898197,0.02233746,0.00001257403,0.00002138374,0.0006832764,0.00009657595,0.0003825486,0.9736815,0.00003755222,0.002540783,0.000009776109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933413,0.001681731,0.003866258,0.00005195082,0.00001005075,0.00002776312,0.0002063693,0.00001892764,0.0007956413],"genre_scores_gemma":[0.9889367,0.00128922,0.006307667,0.00006513857,0.00001368358,0.0000306145,0.0006875419,0.00001343627,0.002655905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006347474,"threshold_uncertainty_score":0.001688182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004648489868801888,"score_gpt":0.2395692061671875,"score_spread":0.2349207162983857,"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."}}