{"id":"W2794288055","doi":"10.1016/j.jneb.2017.09.003","title":"Dash to Better Health: Dietary Approached to Stop Hypertension (DASH) Eating Plan","year":2018,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dash; DASH diet; Health plan; Blood pressure; Healthy eating; Medicine; Environmental health; Physical therapy; Physical activity; Internal medicine; Computer science; Political science; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001595806,0.0003654696,0.0005465492,0.0006794348,0.0005794499,0.0007039399,0.0004952861,0.0008649926,0.009937019],"category_scores_gemma":[0.002847454,0.0002465606,0.0006545821,0.0005047714,0.0001849175,0.0005738805,0.001295245,0.003248476,0.00157072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008244511,"about_ca_system_score_gemma":0.002273299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004973901,"about_ca_topic_score_gemma":0.01126364,"domain_scores_codex":[0.9993827,0.000214312,0.00006689232,0.00004939344,0.0001991388,0.00008754584],"domain_scores_gemma":[0.9989411,0.0002018262,0.000123071,0.00003641962,0.0001641855,0.0005334169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00303216,0.01103581,0.03125416,0.0007836916,0.000428096,0.0002076953,0.0003374129,0.0008633891,0.001057282,0.003452549,0.1637186,0.7838293],"study_design_scores_gemma":[0.01785781,0.01013489,0.5518947,0.006655175,0.002680083,0.001143305,0.002756997,0.006146832,0.004596575,0.02966554,0.3660973,0.0003707569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.463768,0.02078897,0.03066714,0.2338927,0.01078845,0.009626574,0.03096511,0.005311196,0.1941919],"genre_scores_gemma":[0.5490626,0.0278321,0.2554607,0.07767877,0.00278362,0.01371821,0.01640335,0.0002992745,0.0567614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009937019,"threshold_uncertainty_score":0.03324264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493416847748525,"score_gpt":0.3146271578736123,"score_spread":0.2796929893961271,"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."}}