{"id":"W4405800269","doi":"10.1017/s1368980024002519","title":"Using food composition tables to estimate decreases in sodium intake due to the reformulation of packaged and ultra-processed foods in a young population in South Africa","year":2024,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Sodium Intake and Health","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; University of Cambridge; International Development Research Centre; Bloomberg Philanthropies","keywords":"Dietary Sodium; Sodium; Food composition data; Environmental health; Consumption (sociology); Population; Medicine; Food consumption; Demography; Food science; Geography; Biology; Agricultural economics; Chemistry; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399612,0.0003920601,0.0002587074,0.002243421,0.0003180969,0.0006042525,0.0004550005,0.0003483059,0.001144729],"category_scores_gemma":[0.005124251,0.0003698302,0.0005545795,0.001778865,0.000205287,0.0005673865,0.0004801379,0.0002429649,0.0003497511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007402573,"about_ca_system_score_gemma":0.0003977929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232676,"about_ca_topic_score_gemma":0.01864025,"domain_scores_codex":[0.9993318,0.0002356123,0.000103473,0.0001320323,0.0001521046,0.00004493378],"domain_scores_gemma":[0.9977851,0.0004702411,0.001287439,0.0001464632,0.0002114284,0.00009920105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001593427,0.00004015653,0.9956409,0.0000402783,0.00007662857,0.00004877321,0.000290716,0.0001643293,0.0006146177,0.00001320358,0.000137263,0.002773993],"study_design_scores_gemma":[0.00001102404,0.00009968932,0.9986671,0.00001056952,0.0000192092,0.0000542367,0.0002483328,0.0004795993,0.0002192871,0.00001413058,0.0001721048,0.000004690915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971781,0.0000868249,0.0004280514,0.00002658556,0.000003908438,0.00006498254,0.001887051,0.00001373159,0.0003108193],"genre_scores_gemma":[0.9967359,0.00007351641,0.001486163,0.00002223948,0.000004139119,0.0001160973,0.001310152,0.000003251206,0.0002485598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02232676,"threshold_uncertainty_score":0.0443936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07038189478217745,"score_gpt":0.3544608853194249,"score_spread":0.2840789905372474,"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."}}