{"id":"W1522837845","doi":"10.1533/9781845697198.2.212","title":"Application of dairy-derived ingredients in food intake and metabolic regulation","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Diet and metabolism studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Food science; Lactose; Casein; Metabolic syndrome; Carbohydrate; Chemistry; Biology; Obesity; Biotechnology; Biochemistry; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179589,0.0002829432,0.0008668808,0.0003092153,0.00003170666,0.000006374195,0.00006568846,0.0002279673,0.00001093485],"category_scores_gemma":[0.00002714108,0.000257126,0.0001091366,0.00002643098,0.0001290257,0.0000326304,0.00006432991,0.0002339828,0.000007004688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581477,"about_ca_system_score_gemma":0.00004443906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001084847,"about_ca_topic_score_gemma":0.00003673113,"domain_scores_codex":[0.9986852,0.00001359413,0.0005195093,0.0003458248,0.0002683002,0.0001675868],"domain_scores_gemma":[0.9991405,0.00002001288,0.0003074862,0.0003301792,0.0001269296,0.0000748629],"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":[0.00006854194,0.00001982173,0.0003077751,0.000134823,0.0001130691,0.00000170043,0.0006893176,1.221577e-7,0.001027323,0.007495641,0.00001396758,0.9901279],"study_design_scores_gemma":[0.001601679,0.0002046892,0.1091309,0.0006071946,0.0004637505,0.000005718878,0.00002652509,0.000008576243,0.0006785245,0.01498093,0.8720191,0.0002724282],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01325845,0.01023848,0.000009464717,0.00008059957,0.0001461119,0.001120257,0.00001470356,0.00003557288,0.9750963],"genre_scores_gemma":[0.3586738,0.002288254,0.0008943925,0.0002632757,0.0004227209,0.00007985647,0.00009380475,0.00007886766,0.637205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9898555,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707997012056625,"score_gpt":0.2496285193309058,"score_spread":0.2325485492103395,"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."}}