{"id":"W3012457584","doi":"10.1016/j.ypmed.2020.106068","title":"Effects of a lifestyle intervention on cardiovascular risk among high-risk individuals for diabetes in a low- and middle-income setting: Secondary analysis of the Kerala Diabetes Prevention Program","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"National Health and Medical Research Council; Fogarty International Center; National Institutes of Health; Eli Lilly and Company","keywords":"Medicine; Diabetes mellitus; Framingham Risk Score; Randomized controlled trial; Relative risk; Absolute risk reduction; Physical therapy; Demography; Gerontology; Environmental health; Disease; Internal medicine; Confidence interval; Population","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":[0.00136313,0.000837372,0.001502493,0.000734209,0.001109657,0.0009804799,0.0006749037,0.0006828142,0.001399937],"category_scores_gemma":[0.00256504,0.0005104168,0.001524147,0.0009689997,0.0005563219,0.0003736816,0.0008446066,0.001116002,0.0001378715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133532,"about_ca_system_score_gemma":0.003219149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04359364,"about_ca_topic_score_gemma":0.04303371,"domain_scores_codex":[0.998104,0.001017506,0.00009239283,0.0001911383,0.0001431741,0.0004517747],"domain_scores_gemma":[0.998674,0.0002816885,0.0002110101,0.0001464634,0.0001360093,0.0005509334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2098974,0.1119293,0.6029395,0.0006455143,0.007277556,0.0005270127,0.001431578,0.001298359,0.003359293,0.0002469413,0.001332879,0.05911468],"study_design_scores_gemma":[0.01183902,0.03529007,0.9477738,0.00003442496,0.002546731,0.00006448121,0.0005411441,0.0008427161,0.0006377337,0.00005569803,0.0003432697,0.00003094536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993112,0.000117813,0.00004109817,0.00006249117,0.00001318305,0.00008151209,0.0001297729,0.000009898634,0.0002330254],"genre_scores_gemma":[0.9990253,0.0001109158,0.0001727498,0.00008377999,0.00002537564,0.00009846066,0.0001549948,0.000002917877,0.0003254242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04359364,"threshold_uncertainty_score":0.08667982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007301294547775943,"score_gpt":0.2397579973269051,"score_spread":0.2324567027791292,"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."}}