{"id":"W3174793422","doi":"10.1007/s10570-021-04223-9","title":"Effect of pectin extraction method on properties of cellulose nanofibers isolated from sugar beet pulp","year":2021,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Kempestiftelserna; Kempe Foundation; Science and Technology Development Fund; Vetenskapsrådet; Stiftelsen för Strategisk Forskning; National Research Centre","keywords":"Hydrolysis; Degree of polymerization; Crystallinity; Xylanase; Cellulose; Cellulase; Pectin; Pulp (tooth); Materials science; Enzymatic hydrolysis; Nanofiber; Chemical engineering; Sulfuric acid; Chemistry; Polymerization; Organic chemistry; Composite material; Polymer; Biochemistry; Enzyme","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":[0.0001811161,0.0003901871,0.0002030954,0.0002374971,0.0001533036,0.0001769595,0.00008243889,0.0001992038,0.001078977],"category_scores_gemma":[0.0003397867,0.0001097646,0.00022841,0.0001830635,0.0001026874,0.0002682625,0.00009862663,0.0003174646,0.000126794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047745,"about_ca_system_score_gemma":0.00007460338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939691,"about_ca_topic_score_gemma":0.001212061,"domain_scores_codex":[0.9998665,0.00001798611,0.00001235602,0.00003029309,0.00004412692,0.00002873141],"domain_scores_gemma":[0.9997631,0.0001042719,0.00005241294,0.00001044102,0.00004755088,0.00002220987],"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":[0.00004718101,0.00001085039,0.0001404394,0.00004590938,0.000004351563,0.00004052258,0.00001576477,0.00003119333,0.9981317,0.000004067158,0.000008513352,0.001519487],"study_design_scores_gemma":[0.000001878077,0.00007486442,0.003666225,0.000004185641,0.00000947169,0.00004889365,0.00001206436,0.0001443305,0.9957931,0.000004084791,0.0002376198,0.00000315387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949678,0.001764383,0.001747184,0.00003152574,0.0000229103,0.0000168311,0.000188407,0.0000240891,0.00123702],"genre_scores_gemma":[0.995752,0.0008902092,0.001963992,0.00004357209,0.00001068314,0.00002492803,0.0002505675,0.00002513648,0.001038974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078977,"threshold_uncertainty_score":0.003609478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212460739364901,"score_gpt":0.3115690579572116,"score_spread":0.2894444505635626,"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."}}