{"id":"W2735686901","doi":"10.3945/ajcn.116.145623","title":"Modeled changes in US sodium intake from reducing sodium concentrations of commercially processed and prepared foods to meet voluntary standards established in North America: NHANES","year":2017,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Sodium Intake and Health","field":"Nursing","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Health Canada","funders":"","keywords":"Medicine; Sodium; Environmental health; Population; Blood pressure; National Health and Nutrition Examination Survey; Gerontology; Demography; Internal medicine; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.000527493,0.0004161859,0.000260825,0.0001492451,0.0002455312,0.0004022198,0.0007811446,0.0007283318,0.00154904],"category_scores_gemma":[0.001142955,0.0004161423,0.0009708914,0.0004142628,0.0002481,0.0003212086,0.0002387733,0.0006064134,0.0002671619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209263,"about_ca_system_score_gemma":0.00233932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2470085,"about_ca_topic_score_gemma":0.1886173,"domain_scores_codex":[0.9998181,0.00006442149,0.000007780202,0.0000481844,0.0000194032,0.00004208899],"domain_scores_gemma":[0.9997404,0.0000962953,0.00003506852,0.00002280488,0.0000792975,0.00002618765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001449168,0.0008077922,0.09826577,0.00008024715,0.0004439456,0.0002129651,0.0001384844,0.8855097,0.001993515,0.002015016,0.00490618,0.00417723],"study_design_scores_gemma":[0.0006910328,0.0009056951,0.1170929,0.0000276357,0.000449692,0.000109102,0.0005418749,0.8708064,0.003141651,0.001759763,0.004391239,0.00008288002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923267,0.0000239985,0.001272708,0.0002166866,0.00003750246,0.00003434566,0.004287213,0.0000580567,0.001742705],"genre_scores_gemma":[0.9933473,0.00002950369,0.00126899,0.00009413399,0.000004047215,0.00007834376,0.003379816,0.00001130401,0.001786637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2470085,"threshold_uncertainty_score":0.4911414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392295863574425,"score_gpt":0.3847199416325237,"score_spread":0.3407969829967795,"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."}}