{"id":"W2747537934","doi":"10.1016/j.tifs.2004.04.010","title":"","year":2004,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Food composition and properties","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Postprandial; Chylomicron; Triglyceride; Food science; Dietary fiber; Physiology; Epidemiology; Cholesterol; Biology; Medicine; Lipoprotein; Endocrinology; Internal medicine; Insulin; Very low-density lipoprotein","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005329634,0.0004371646,0.0002192892,0.001027473,0.001128253,0.002062416,0.000620976,0.0009907453,0.531222],"category_scores_gemma":[0.001130496,0.0001532523,0.0002484375,0.0006719284,0.0004477053,0.0007980129,0.001232781,0.0008602274,0.3897405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894115,"about_ca_system_score_gemma":0.001622612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002501568,"about_ca_topic_score_gemma":0.005707068,"domain_scores_codex":[0.9997007,0.00002396875,0.00001210806,0.00005515976,0.0001588515,0.00004916676],"domain_scores_gemma":[0.9992589,0.00004134872,0.00002163005,0.0001032474,0.000363658,0.0002110441],"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":[0.0001256814,0.000135019,0.001532599,0.0001245075,0.000006025006,0.0001810109,0.0002147715,0.00007710522,0.007030289,0.02065564,0.4645588,0.5053585],"study_design_scores_gemma":[0.000005428736,0.0000238976,0.001419098,0.00003180074,0.000002552817,0.0001475784,0.0000735879,0.00003600177,0.001091976,0.001079787,0.9960852,0.000003090397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002525454,0.001005066,0.002136524,0.003622326,0.002240184,0.00007931506,0.000643107,0.0005984238,0.9871495],"genre_scores_gemma":[0.004912579,0.000598689,0.0009362057,0.0006029399,0.0001634778,0.00002508424,0.0005333108,0.00006225983,0.9921654],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.468778,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345722292155683,"score_gpt":0.297873834488224,"score_spread":0.2644166115666671,"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."}}