{"id":"W2784308165","doi":"10.1016/j.gheart.2017.11.002","title":"Development, Testing, and Implementation of a Training Curriculum for Nonphysician Health Workers to Reduce Cardiovascular Disease","year":2018,"lang":"en","type":"article","venue":"Global Heart","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; World Health Organization","keywords":"Checklist; Medicine; Observational study; Global health; Medical education; Curriculum; Strengthening the reporting of observational studies in epidemiology; Test (biology); Public health; Systematic review; Family medicine; MEDLINE; Nursing; Pathology; Economic growth; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427478,0.00009587689,0.00030915,0.0000406138,0.0001447273,0.000008311752,0.00002734689,0.0000270081,0.000008652188],"category_scores_gemma":[0.00009607762,0.00009629585,0.0001761041,0.0002953488,0.00003207846,0.00004425584,0.00002220508,0.00003603267,0.000009567398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438797,"about_ca_system_score_gemma":0.0006589845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003439881,"about_ca_topic_score_gemma":0.00004042291,"domain_scores_codex":[0.9987565,0.0001243384,0.0002956263,0.0002648708,0.000267515,0.0002911707],"domain_scores_gemma":[0.9991443,0.00000851995,0.00005581016,0.0001934157,0.000199512,0.0003985067],"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":[0.00003335029,0.00006975047,0.04833172,0.0005222398,0.0002724362,0.000001107676,0.0008246414,0.000003217451,0.00008591163,0.00006990726,0.00176571,0.94802],"study_design_scores_gemma":[0.00186798,0.0005356167,0.9377486,0.0005180566,0.0001499879,0.00002937658,0.001506437,0.00006525667,0.0002257193,0.00008447354,0.057136,0.0001325508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777673,0.0004640926,0.01832074,0.001226489,0.0001690331,0.001799692,0.0000263898,0.00005006082,0.0001762449],"genre_scores_gemma":[0.9526994,0.000005723758,0.04626659,0.0006428839,0.0002284497,0.0001012785,0.00002920812,0.00001006775,0.00001634296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9478875,"threshold_uncertainty_score":0.3926831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05561660879568382,"score_gpt":0.3925214496101496,"score_spread":0.3369048408144658,"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."}}