{"id":"W2901251812","doi":"10.1093/advances/nmy045","title":"Nutrient Profile Models with Applications in Government-Led Nutrition Policies Aimed at Health Promotion and Noncommunicable Disease Prevention: A Systematic Review","year":2018,"lang":"en","type":"review","venue":"Advances in Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; British Heart Foundation","keywords":"Government (linguistics); Inclusion (mineral); Systematic review; Medicine; Environmental health; Business; Computer science; MEDLINE; Political science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004908917,0.0004671483,0.00251326,0.0001920577,0.000229932,0.00002445213,0.0001550252,0.0001307582,0.0000150924],"category_scores_gemma":[0.00006443049,0.0003633753,0.0002361567,0.0008308829,0.0001615228,0.0004137427,0.000133181,0.0002878781,0.000009112365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661702,"about_ca_system_score_gemma":0.0001448057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001598413,"about_ca_topic_score_gemma":0.0001661856,"domain_scores_codex":[0.9966258,0.0003834351,0.001357064,0.0006201097,0.0006245025,0.0003891196],"domain_scores_gemma":[0.9980267,0.0001727935,0.0008499342,0.0005999141,0.0001414535,0.0002092224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001291837,0.003691935,0.00002298924,0.9916437,0.00005103118,0.000006737162,0.00002247883,3.723508e-7,7.411209e-8,0.001393211,0.0005042422,0.002534033],"study_design_scores_gemma":[0.002219647,0.0007574654,0.000008813176,0.8285246,0.0007982553,0.00006314654,0.0001075576,0.00003162008,5.922018e-7,0.002746741,0.1644462,0.0002952637],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001009092,0.9748929,0.0002871675,0.0008800027,0.00003000306,0.02323134,0.0003340685,0.00004858121,0.0002858889],"genre_scores_gemma":[0.00006972923,0.960112,0.002119594,0.0001211159,0.0001246483,0.03508664,0.002168186,0.00004703457,0.0001510985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.163942,"threshold_uncertainty_score":0.9998818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03803401179207228,"score_gpt":0.3728025544690757,"score_spread":0.3347685426770035,"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."}}