{"id":"W3156788862","doi":"10.1016/j.ijbiomac.2021.03.190","title":"Catechin-grafted arabinoxylan conjugate: Preparation, structural characterization and property investigation","year":2021,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Food composition and properties","field":"Nursing","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Tianjin Science and Technology Committee; Beijing Technology and Business University; Beijing Engineering and Technology Research Center of Food Additives","keywords":"Arabinoxylan; Chemistry; Covalent bond; Catechin; Conjugate; Thermal stability; Grafting; Pectin; Substrate (aquarium); Starch; Polysaccharide; Polyphenol; Nuclear chemistry; Organic chemistry; Food science; Antioxidant; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001399482,0.0001158999,0.0001632763,0.00007953969,0.00007814348,0.0001754016,0.0001620903,0.00008453556,0.00007116699],"category_scores_gemma":[0.000208137,0.0000699732,0.00006048755,0.00008221008,0.0001226324,0.0002266999,0.00005545261,0.0001525359,0.000005257694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004475033,"about_ca_system_score_gemma":0.00004015987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004771,"about_ca_topic_score_gemma":0.000004608522,"domain_scores_codex":[0.9988649,0.0002155128,0.0004216711,0.0001581523,0.0002377834,0.0001019547],"domain_scores_gemma":[0.9988036,0.00003722824,0.0002766145,0.0000641167,0.0007415228,0.00007689064],"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":[0.001208362,0.00003186145,0.007623862,0.000007603408,0.00006688749,0.00006601644,0.0003772137,0.0000124543,0.9729598,0.0002964569,0.00005448997,0.01729498],"study_design_scores_gemma":[0.001251795,0.001822506,0.127764,0.0001785248,0.00003454669,0.002325243,0.0001497175,0.00131331,0.8523116,0.005457598,0.007093603,0.0002975831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910039,0.0002344974,0.0002995299,0.007378183,0.0008653408,0.00007439453,0.00002081382,0.00002737368,0.00009594451],"genre_scores_gemma":[0.9971494,0.00007110171,0.0009139934,0.001431508,0.000215829,0.000002552821,0.0001624497,0.00000702414,0.00004615857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206482,"threshold_uncertainty_score":0.2853425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295298141289254,"score_gpt":0.2712779804966635,"score_spread":0.248324999083771,"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."}}