{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003599019,0.00007237422,0.000107935,0.00001544247,0.00002345269,0.00001226517,0.00007384162,0.00008336051,0.0002037194],"category_scores_gemma":[0.000009105705,0.00007497414,0.00002753948,0.00009495837,0.00002970824,0.00007381485,0.00000568124,0.0001324738,0.00000859299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005132589,"about_ca_system_score_gemma":0.0000155305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646887,"about_ca_topic_score_gemma":0.00001582509,"domain_scores_codex":[0.9995181,0.00001720759,0.0001482575,0.0001263983,0.00009039666,0.00009965041],"domain_scores_gemma":[0.9997162,0.00001702655,0.00004972429,0.0001442105,0.00003213368,0.00004071402],"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":[0.0003887867,0.00008435673,0.001297844,0.0000254446,0.000002446222,0.000001790229,0.000275286,0.000007453519,0.9871501,8.473785e-7,0.0005777608,0.0101879],"study_design_scores_gemma":[0.0003454538,0.00006287215,0.02455561,0.00006335835,0.000005757552,0.000001856093,0.0001579066,0.00004839386,0.972388,0.0002064827,0.002079219,0.00008509262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757444,0.00024446,0.000001289763,0.0004820192,0.00008128051,0.00002929331,0.00001727275,0.00003922278,0.02336081],"genre_scores_gemma":[0.9994597,0.000004750294,0.00008846153,0.0001885862,0.0001209342,0.000001512393,0.00003511446,0.000006385541,0.00009458058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371533,"threshold_uncertainty_score":0.3057356,"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."}}