{"id":"W1966158438","doi":"10.1079/bjn2003944","title":"Glycaemic index of different coconut (<i>Cocos nucifera</i>)-flour products in normal and diabetic subjects","year":2003,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Food composition and properties","field":"Nursing","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Philippine Council for Health Research and Development; Food and Nutrition Research Institute; University of Toronto","keywords":"Cocos nucifera; Food science; Glycaemic index; Wheat flour; Coco; Chemistry; Animal science; Biology; Glycemic index; Biotechnology; Botany; Glycemic; Insulin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002701017,0.0001184947,0.0003316307,0.0002123299,0.00006337612,0.00007362732,0.00008719616,0.00008181956,0.00003023915],"category_scores_gemma":[0.000137864,0.0001312676,0.00006305568,0.0001839984,0.00007750107,0.0002977884,0.00001236224,0.0003196828,0.000001052938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006553452,"about_ca_system_score_gemma":0.00002577235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000311222,"about_ca_topic_score_gemma":0.00003730511,"domain_scores_codex":[0.9985897,0.0002581596,0.0005469986,0.0001392721,0.0002585438,0.0002073126],"domain_scores_gemma":[0.9992942,0.00005178255,0.0002548266,0.0000784396,0.0002361244,0.00008461581],"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":[0.01102399,0.01183327,0.1136444,0.005278946,0.0002133251,0.001129393,0.003004926,0.0001090663,0.6215081,0.0002862707,0.007611179,0.2243572],"study_design_scores_gemma":[0.02012173,0.008757768,0.2570336,0.01091521,0.0001339054,0.0146891,0.0009237942,0.0001775121,0.6771037,0.006272973,0.003113569,0.0007571466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923069,0.006301623,0.00001167156,0.0004869874,0.0004305032,0.0002680274,0.000007658581,0.000009673598,0.0001768866],"genre_scores_gemma":[0.9986698,0.000780227,0.0002629217,0.0001221255,0.0001260552,0.000008335254,0.000003750511,0.00001664126,0.00001015675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2236,"threshold_uncertainty_score":0.5352936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134386328381047,"score_gpt":0.2137114107642042,"score_spread":0.2023675474803937,"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."}}