{"id":"W2045218700","doi":"10.1021/jf001227g","title":"Studies on Rye (<i>Secale cereale</i> L.) Lines Exhibiting a Range of Extract Viscosities. 1. Composition, Molecular Weight Distribution of Water Extracts, and Biochemical Characteristics of Purified Water-Extractable Arabinoxylan","year":2001,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Huron Mountain Wildlife Foundation","keywords":"Arabinoxylan; Chemistry; Secale; Intrinsic viscosity; Food science; Gel permeation chromatography; Molecular mass; Polysaccharide; Viscosity; Size-exclusion chromatography; Chromatography; Amylase; Botany; Biochemistry; Enzyme; Organic chemistry; Biology; Polymer","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":[0.0002363883,0.0005501938,0.0003039585,0.0002718833,0.0001692491,0.0002831322,0.0001176271,0.0002122572,0.00035109],"category_scores_gemma":[0.000252403,0.0001506916,0.0003662202,0.0002154388,0.0001926971,0.0002382642,0.0001671657,0.0004195061,0.0001570662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613897,"about_ca_system_score_gemma":0.00006881962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236222,"about_ca_topic_score_gemma":0.001301451,"domain_scores_codex":[0.9998955,0.00002401726,0.00001090239,0.00003360767,0.00001979004,0.00001623313],"domain_scores_gemma":[0.9997186,0.00008650373,0.00008685986,0.00001868959,0.00003989109,0.00004935965],"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":[0.00004870085,0.00001359324,0.000593856,0.00001863377,0.000008846723,0.00002677299,0.00002872337,0.00001927311,0.9986643,0.000006718715,0.000005376741,0.0005652392],"study_design_scores_gemma":[0.00002415619,0.002295464,0.1589603,0.00001330004,0.0001214187,0.0008799121,0.000183878,0.0005829325,0.834434,0.00004726391,0.002431736,0.00002555776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975255,0.0006116317,0.001371303,0.00002092295,0.000004566827,0.00002097175,0.0002471964,0.00001710501,0.0001807331],"genre_scores_gemma":[0.9912086,0.0008927105,0.004395816,0.0001010415,0.00001026442,0.00005867402,0.001942812,0.00003784239,0.001352202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236222,"threshold_uncertainty_score":0.002458036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281266096605674,"score_gpt":0.2179963471791687,"score_spread":0.205183686213112,"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."}}