{"id":"W2082716781","doi":"10.1016/j.foodhyd.2010.09.027","title":"Fractionation and physicochemical characterization of peach gum polysaccharides","year":2010,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Chinese Government Scholarship; China Scholarship Council","keywords":"Chemistry; Arabinose; Polysaccharide; Chromatography; Gum arabic; Emulsion; Uronic acid; Fractionation; Extraction (chemistry); Fraction (chemistry); Size-exclusion chromatography; Food science; Organic chemistry; Xylose","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":[0.00005474083,0.00007748606,0.00009607615,0.00002081266,0.000123729,0.00002977632,0.00009787106,0.00007177856,0.0001545814],"category_scores_gemma":[0.00001298111,0.00003889138,0.00003744712,0.0002932643,0.00005025961,0.0001475551,0.00003328127,0.0001097623,0.000009548857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005329655,"about_ca_system_score_gemma":0.000005484977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378934,"about_ca_topic_score_gemma":0.00002244992,"domain_scores_codex":[0.9994524,0.000009316696,0.0001519798,0.0001653246,0.0001215287,0.00009943297],"domain_scores_gemma":[0.9997011,0.00003678588,0.00009484585,0.00004635845,0.00005974123,0.00006117582],"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":[0.00000537145,0.00007325629,0.00122111,0.000002417509,0.000005380014,3.099359e-8,0.000022936,1.261077e-7,0.986484,0.003304131,0.00001549773,0.00886573],"study_design_scores_gemma":[0.0001090026,0.0001125057,0.1144363,0.000007333118,0.00001050557,0.000005767348,0.00003001875,0.000349176,0.8781217,0.001525062,0.005170962,0.0001215987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980416,0.000006687215,0.00004650728,0.001166717,0.00005972499,0.0001880852,0.00006070011,0.00005063019,0.0003793027],"genre_scores_gemma":[0.9993212,0.000006179805,0.0001119841,0.00009416287,0.0001883206,0.00005827123,0.0001219173,9.136971e-7,0.00009706688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1132152,"threshold_uncertainty_score":0.1692558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007216379363433065,"score_gpt":0.2012993330810441,"score_spread":0.194082953717611,"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."}}