{"id":"W2056133781","doi":"10.1094/cchem-86-6-0601","title":"Extraction of β‐Glucan from Oat Bran in Laboratory Scale","year":2009,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Food and Drug Administration","keywords":"Chemistry; Papain; Extraction (chemistry); Chromatography; Starch; Bran; Amylase; Hydrolysis; Enzymatic hydrolysis; Glucan; Centrifugation; Ethanol precipitation; Protease; Digestion (alchemy); Food science; Yield (engineering); Enzyme; Avena; Ethanol; Biochemistry; Botany; Organic chemistry","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":[0.0002532539,0.0009709043,0.0005525985,0.0004237918,0.000320399,0.0004054713,0.0002487966,0.0002118007,0.001110932],"category_scores_gemma":[0.0003387284,0.0002150417,0.0003859413,0.0004811273,0.0002847836,0.0002726109,0.0002121641,0.0006992219,0.0007766371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190948,"about_ca_system_score_gemma":0.0002912987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058154,"about_ca_topic_score_gemma":0.001548569,"domain_scores_codex":[0.9998087,0.00003224024,0.00001843977,0.0000520873,0.00005137065,0.00003712588],"domain_scores_gemma":[0.9998387,0.00004433094,0.00002570125,0.00002831139,0.00003646003,0.00002637135],"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":[0.00002806152,0.00001728368,0.00007218395,0.00003408057,0.000004336443,0.00003191791,0.000009527359,0.00002656735,0.9990852,0.000008620913,0.00001138013,0.0006707702],"study_design_scores_gemma":[0.00001736314,0.0002975621,0.003552533,0.00001765754,0.00003446651,0.0001391638,0.00003537948,0.0004160001,0.993407,0.00005290005,0.002022753,0.000007153422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478297,0.002430996,0.04386692,0.0001155856,0.0001279638,0.0004295729,0.001645879,0.0003824163,0.003171103],"genre_scores_gemma":[0.914476,0.003582377,0.06158524,0.0001552469,0.0001105786,0.0004155467,0.009511538,0.0003506569,0.009812933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001110932,"threshold_uncertainty_score":0.003716469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009219900919335486,"score_gpt":0.2442785188296709,"score_spread":0.2350586179103354,"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."}}