{"id":"W4234239928","doi":"10.1016/b978-0-444-64046-8.00241-x","title":"Resistant Starches in Foods","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Food composition and properties","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Ingredient; Food science; Starch; Glycemic index; Food products; Organoleptic; Health benefits; Chemistry; Resistant starch; Food industry; Food quality; Food systems; Biotechnology; Biochemical engineering; Glycemic; Biology; Engineering; Traditional medicine; Agriculture; Food security; Medicine","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":[0.00015337,0.001090728,0.0004537455,0.001175297,0.0004415291,0.001156408,0.0004841277,0.0008358923,0.04406427],"category_scores_gemma":[0.000161709,0.0002999279,0.0002774886,0.001173278,0.0004862554,0.001369864,0.0008736295,0.00114869,0.02148933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916861,"about_ca_system_score_gemma":0.0002842054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002693,"about_ca_topic_score_gemma":0.00180767,"domain_scores_codex":[0.9999377,0.000008545494,0.000003947177,0.00001422778,0.00002955668,0.000006030319],"domain_scores_gemma":[0.9999659,0.00001386936,0.000002715538,0.000005685721,0.000008092453,0.00000363497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004746076,0.0001368224,0.0001304435,0.000904947,0.00001120351,0.0002845975,0.000506858,0.0003535756,0.01032282,0.0701272,0.08325791,0.8339162],"study_design_scores_gemma":[0.00000387252,0.0000395955,0.0003885735,0.0003112785,0.00000525389,0.0003550569,0.00009025049,0.00008268332,0.0008512963,0.008900509,0.9889664,0.00000521961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003317038,0.239528,0.003839454,0.0009364097,0.002458979,0.0000358594,0.00008967549,0.000136658,0.7496579],"genre_scores_gemma":[0.005808562,0.06857763,0.002068828,0.0004219693,0.000480768,0.00004030934,0.00008883981,0.00005180206,0.9224613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04406427,"threshold_uncertainty_score":0.1474097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114163212833652,"score_gpt":0.2515106845307785,"score_spread":0.220369052402442,"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."}}