{"id":"W2508316184","doi":"10.1094/cchem-02-16-0028-r","title":"Molecular Size Distribution and Amylase Resistance of Maize Starch Nanoparticles Prepared by Acid Hydrolysis","year":2016,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"","keywords":"Chemistry; Amylose; Size-exclusion chromatography; Starch; Amylase; Degree of polymerization; Resistant starch; Hydrolysis; Food science; Maize starch; Polysaccharide; Molar mass distribution; Biochemistry; Chromatography; Enzyme; Polymerization; Organic chemistry; 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":[0.0001807321,0.0002741769,0.0001533891,0.0002102541,0.00007048881,0.0002000469,0.0001351918,0.0002686908,0.0003969792],"category_scores_gemma":[0.0002895934,0.0001953779,0.0001738053,0.0001257358,0.000160368,0.0001859048,0.0001059367,0.0002645671,0.0001093072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121771,"about_ca_system_score_gemma":0.00007102428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005747664,"about_ca_topic_score_gemma":0.0005242135,"domain_scores_codex":[0.9999068,0.000008660483,0.00000955492,0.00002836437,0.0000297088,0.00001702387],"domain_scores_gemma":[0.9998506,0.00003542502,0.0000483485,0.00001066831,0.00003709629,0.00001783925],"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":[0.00002657542,0.000002351663,0.00005964571,0.00001075687,0.000002276213,0.000008096153,0.000008684107,0.00005242324,0.9994286,0.00001738138,0.000005325008,0.0003779617],"study_design_scores_gemma":[0.000004341728,0.0001134724,0.002658141,0.000002260585,0.00001092005,0.00003159965,0.0000129787,0.0008124469,0.9959309,0.00001739443,0.0004006904,0.000004940096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961527,0.0004353182,0.002640991,0.00001867796,0.00001125239,0.00001601685,0.00008934955,0.00003410749,0.0006016467],"genre_scores_gemma":[0.9962303,0.0002876816,0.002282479,0.00001957009,0.000005343785,0.00004140408,0.0001584891,0.00001842357,0.0009562605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005747664,"threshold_uncertainty_score":0.001539469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005707402407493532,"score_gpt":0.2131580925560188,"score_spread":0.2074506901485253,"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."}}