{"id":"W4288445141","doi":"10.1002/star.202100305","title":"Extraction Optimization of <i>Arctium lappa</i> L. Polysaccharides by Box–Behnken Response Surface Design and Their Antioxidant Capacity","year":2022,"lang":"en","type":"article","venue":"Starch - Stärke","topic":"Polysaccharides and Plant Cell Walls","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Extraction (chemistry); Response surface methodology; Arctium lappa; Box–Behnken design; Polysaccharide; Chemistry; Chromatography; Yield (engineering); Antioxidant; Nutraceutical; Ingredient; Hot water extraction; Food science; Biochemistry; Materials science; Traditional medicine; Medicine","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":[0.0004449106,0.0005445936,0.0004634128,0.0003016749,0.0001120673,0.0004363702,0.0002527382,0.0003692699,0.0006785858],"category_scores_gemma":[0.000312379,0.0002666596,0.0007100834,0.0003497651,0.0001768335,0.0002357855,0.0002159947,0.0003827036,0.0002270772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946503,"about_ca_system_score_gemma":0.0001925503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003327727,"about_ca_topic_score_gemma":0.0005794339,"domain_scores_codex":[0.9997081,0.00007354699,0.00002480849,0.00005734109,0.00009891754,0.00003724068],"domain_scores_gemma":[0.9998869,0.00003259968,0.0000419477,0.000006043093,0.00002362415,0.000008950536],"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":[0.0001060448,0.00003347807,0.00008933865,0.00009719987,0.00001040729,0.00001899362,0.000008860051,0.0008244457,0.9961858,0.00003757083,0.0000172252,0.002570553],"study_design_scores_gemma":[0.0000270293,0.0005674039,0.001595655,0.000007969855,0.00003308877,0.000035133,0.00001723507,0.007451321,0.9889956,0.00003858179,0.001214899,0.0000160948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592938,0.00176296,0.03724042,0.00009370135,0.0000336949,0.0001270375,0.0002635557,0.0001803162,0.001004551],"genre_scores_gemma":[0.9283744,0.001317076,0.06719046,0.0001063842,0.00001171474,0.0003596047,0.0004637157,0.00006216514,0.002114427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006785858,"threshold_uncertainty_score":0.002352893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249301060742231,"score_gpt":0.2139326462491249,"score_spread":0.1914396356417026,"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."}}