{"id":"W3160070467","doi":"10.1161/circ.142.suppl_3.16687","title":"Abstract 16687: The Use of Evidence by Stakeholders in Developing Nutrition Policy: Preventing Heart Disease and Stroke Through Reducing Sodium and Trans Fat Intake","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Government (linguistics); Thematic analysis; Public health; Public policy; Saturated fat; Environmental health; Disease; Health policy; Public relations; Public economics; Qualitative research; Nursing; Economic growth; Political science; Economics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1492795,0.0005432474,0.0007595439,0.006881141,0.004712792,0.01291129,0.002158412,0.003432452,0.007042123],"category_scores_gemma":[0.2972131,0.0005036965,0.0007692167,0.007822052,0.006571881,0.006536304,0.006206202,0.003775105,0.0007607083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03094529,"about_ca_system_score_gemma":0.1242891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1256185,"about_ca_topic_score_gemma":0.1874492,"domain_scores_codex":[0.8583875,0.09452443,0.009117678,0.002459372,0.03300406,0.002506926],"domain_scores_gemma":[0.5911656,0.3075051,0.01959954,0.006376863,0.07092784,0.004425118],"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":[0.0009491831,0.0005142196,0.06129743,0.05977406,0.001082176,0.001294117,0.1205016,0.001547881,0.004873835,0.0993729,0.0912106,0.557582],"study_design_scores_gemma":[0.0003620104,0.000724421,0.1224393,0.2196667,0.002639395,0.0006425995,0.1487447,0.004728339,0.01068069,0.06263284,0.4263576,0.0003814668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1693185,0.05406294,0.02115638,0.5098848,0.002969481,0.006159374,0.00381901,0.0001831969,0.2324463],"genre_scores_gemma":[0.9159194,0.02390633,0.03064595,0.01935214,0.0003844179,0.001733372,0.001079232,0.00007335022,0.006905715],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1492795,"threshold_uncertainty_score":0.7894747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2943294318938864,"score_gpt":0.3431783621880423,"score_spread":0.04884893029415588,"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."}}