{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424141,0.0001719378,0.0002206015,0.00002172897,0.0004415459,0.00004924987,0.0002265508,0.0000604015,0.0006816557],"category_scores_gemma":[0.00005389914,0.00008076533,0.00006499658,0.000305012,0.00008841309,0.000192919,0.0001266036,0.0002248486,0.000001850195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004387959,"about_ca_system_score_gemma":0.00002383311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782931,"about_ca_topic_score_gemma":0.00004601878,"domain_scores_codex":[0.9981127,0.0006968591,0.0002674809,0.0003334705,0.0002760213,0.0003134591],"domain_scores_gemma":[0.9986664,0.0009211517,0.0001724668,0.00008136739,0.00005191406,0.000106704],"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":[0.001107197,0.0001019544,0.0007125902,0.000007156746,0.00001860985,0.000002742784,0.0002875135,0.004595641,0.9899503,0.00002022273,0.001033043,0.002163042],"study_design_scores_gemma":[0.001186956,0.005717068,0.03205635,0.00006940839,0.00008023949,0.0002048796,0.005480562,0.03592028,0.8418389,0.001327537,0.07458262,0.00153523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956336,0.0004696588,0.001433761,0.0008266161,0.0001141955,0.0003346881,0.001088355,0.00005164124,0.00004750172],"genre_scores_gemma":[0.9979253,0.0003244518,0.001195038,0.0001189989,0.00003237589,0.00001503172,0.00007773144,0.000002434132,0.0003086665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1481114,"threshold_uncertainty_score":0.7463651,"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."}}