{"id":"W4402310365","doi":"10.1016/j.annepidem.2024.07.030","title":"NUTRIENT PROFILING ASSOCIATED WITH MORTALITY AND CARDIOVASCULAR DISEASE IN CANADA","year":2024,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Banting Research Foundation","keywords":"Medicine; Profiling (computer programming); Nutrient; Disease; Environmental health; Gerontology; Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006810315,0.0004161191,0.0006391457,0.002176845,0.003532372,0.002113017,0.001486587,0.0009656138,0.003604478],"category_scores_gemma":[0.004051651,0.0004826859,0.001143494,0.007716529,0.0009244644,0.0004723823,0.001251822,0.001815215,0.0002475353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03779326,"about_ca_system_score_gemma":0.06151185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975876,"about_ca_topic_score_gemma":0.9980345,"domain_scores_codex":[0.9985929,0.00012519,0.0001204815,0.0002080678,0.0004305668,0.0005227713],"domain_scores_gemma":[0.9951485,0.0002841979,0.0007975933,0.0001124573,0.00239743,0.001259904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001905381,0.00004838969,0.9933913,0.00003954807,0.0001284181,0.0001347283,0.0003311158,0.0001337636,0.0001204048,0.0002305408,0.001674022,0.003577371],"study_design_scores_gemma":[0.00001756033,0.0000230961,0.9970778,0.00006134732,0.00008550274,0.00008150586,0.001005996,0.0003161275,0.00005465556,0.00007892417,0.00117681,0.00002064166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772398,0.003747665,0.0002306338,0.00253723,0.00008337142,0.00006618365,0.009581562,0.000029454,0.006484091],"genre_scores_gemma":[0.9952378,0.001197122,0.000220333,0.0003347623,0.00001894493,0.0000120651,0.001412012,0.00001317692,0.001553615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03779326,"threshold_uncertainty_score":0.2742106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514909258253528,"score_gpt":0.3676730202677188,"score_spread":0.2161820944423659,"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."}}