{"id":"W4317702647","doi":"10.1016/j.bcdf.2023.100349","title":"Total fibre vs types and sources of fibre in subjects with and without diabetes: Role of molecular weight and viscosity","year":2023,"lang":"en","type":"article","venue":"Bioactive Carbohydrates and Dietary Fibre","topic":"Food composition and properties","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Postprandial; Dietary fibre; Internal medicine; Diabetes mellitus; Carbohydrate; Endocrinology; Cholesterol; Medicine; Type 2 diabetes; Chemistry; Food science; Gastroenterology; Animal science; Biology","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":[0.00006340026,0.0001867643,0.0003417926,0.0001403511,0.00007498311,0.00003568325,0.00003824734,0.00008183687,0.000002515924],"category_scores_gemma":[0.000008796417,0.0001441896,0.00002592244,0.0002198978,0.0002869967,0.0001803067,0.00008485914,0.00008895931,2.922188e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000669916,"about_ca_system_score_gemma":0.00001175737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876645,"about_ca_topic_score_gemma":0.00004240932,"domain_scores_codex":[0.999186,0.00007209845,0.0001576615,0.0002873399,0.0001075422,0.0001893965],"domain_scores_gemma":[0.9996251,0.00006297239,0.00007842001,0.0001062767,0.00004789966,0.00007936306],"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":[0.004078332,0.00007375981,0.4128249,0.0008618366,0.0002342351,0.00001403366,0.006758435,0.00006499461,0.5688624,0.00004314038,0.0000294964,0.006154458],"study_design_scores_gemma":[0.001431773,0.004777485,0.3944693,0.0006428584,0.0001492962,0.00002246567,0.00413019,0.004353168,0.5889205,0.0006144623,0.00006768058,0.0004207852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899797,0.009100055,2.761635e-7,0.0004670488,0.00002735323,0.0001889447,0.00006151978,0.00002880933,0.0001462523],"genre_scores_gemma":[0.9996174,0.0001714431,0.00008375428,0.00005611082,0.00001685746,0.000006794478,0.00001917952,0.00001788571,0.00001057991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02005809,"threshold_uncertainty_score":0.587988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055111335241243,"score_gpt":0.2111981501255181,"score_spread":0.2031430387902768,"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."}}