{"id":"W2134371552","doi":"10.1017/bjn20061914","title":"Measuring glycaemic responses: duplicate fasting samples or duplicate measures of one fasting sample?","year":2006,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Food composition and properties","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Area under the curve; Glycaemic index; Medicine; Internal medicine; Analysis of variance; Fasting glucose; Endocrinology; Area under curve; Animal science; Diabetes mellitus; Glycemic index; Insulin resistance; Biology; Pharmacokinetics; Glycemic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1090104,0.001652036,0.005208619,0.001445252,0.0009588698,0.002668958,0.003161872,0.00517234,0.001079446],"category_scores_gemma":[0.1349636,0.001710946,0.001519243,0.003567236,0.003786689,0.0022484,0.001673395,0.002531757,0.001305182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857421,"about_ca_system_score_gemma":0.0006944351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062725,"about_ca_topic_score_gemma":0.004038318,"domain_scores_codex":[0.8874213,0.06054607,0.01070983,0.0175051,0.02230816,0.001509541],"domain_scores_gemma":[0.849626,0.08796086,0.01673986,0.02793764,0.01659711,0.001138543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008550875,0.001982225,0.3221904,0.008969461,0.006388681,0.002158212,0.00688281,0.002944575,0.1795772,0.005010076,0.02597731,0.4293682],"study_design_scores_gemma":[0.0008340674,0.01038913,0.5919726,0.002569696,0.00407919,0.01432483,0.004656031,0.02428342,0.2374568,0.02369468,0.0844762,0.001263426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4125612,0.03523702,0.5188006,0.008889507,0.01056797,0.001821521,0.002155011,0.00224877,0.007718242],"genre_scores_gemma":[0.5857014,0.006084946,0.3894949,0.008484245,0.002590718,0.001869447,0.001443113,0.0005402069,0.00379094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1090104,"threshold_uncertainty_score":0.5765091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083536574483823,"score_gpt":0.2664269104782505,"score_spread":0.1580732530298682,"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."}}