{"id":"W2890353443","doi":"10.1371/journal.pone.0201802","title":"Long term outcomes of cluster randomized trial to improve cardiovascular health at population level: The Cardiovascular Health Awareness Program (CHAP)","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McMaster University; University Health Network; University of Toronto; Université de Montréal; Impact; Centre Hospitalier de l’Université de Montréal; Institute for Clinical Evaluative Sciences; Bruyère; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Cardiovascular health; Medicine; Randomized controlled trial; Term (time); Population health; Cluster (spacecraft); Population; Gerontology; Environmental health; Internal medicine; Disease; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01766006,0.0003692756,0.003555538,0.000235208,0.0004610907,0.00003232371,0.0002160881,0.0002002851,0.00006144772],"category_scores_gemma":[0.0007532659,0.0002577428,0.003441597,0.0004531194,0.0001711346,0.0001111247,0.0001729306,0.0003107771,0.00006739852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005995025,"about_ca_system_score_gemma":0.0004690753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060732,"about_ca_topic_score_gemma":0.000222205,"domain_scores_codex":[0.9903636,0.004537986,0.001492006,0.000731439,0.002148373,0.0007265855],"domain_scores_gemma":[0.9964986,0.0001284011,0.000429956,0.001885229,0.0005455871,0.0005121729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.1325474,0.005712039,0.01664111,0.007674804,0.05593025,0.00001508675,0.002709619,0.00005725313,0.0001236956,0.00006674864,0.0002697715,0.7782522],"study_design_scores_gemma":[0.8031225,0.003443077,0.1838054,0.001320902,0.004811115,0.00003601524,0.00007891792,0.0003865137,0.001036257,0.00004430935,0.001425442,0.0004894657],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272256,0.005479685,0.03086672,0.006397689,0.0008073665,0.02879616,0.00004162883,0.000270588,0.000114542],"genre_scores_gemma":[0.9906362,0.0005970162,0.003224778,0.001638546,0.001198922,0.001822174,0.0002422234,0.0000959664,0.0005441649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777627,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09962963753476838,"score_gpt":0.3586355833766441,"score_spread":0.2590059458418758,"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."}}