{"id":"W3083924022","doi":"10.1080/20477724.2020.1816286","title":"Critical appraisal of a mHealth-assisted community-based cardiovascular disease risk screening program in rural Kenya: an operational research study","year":2020,"lang":"en","type":"article","venue":"Pathogens and Global Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta; McMaster University","funders":"","keywords":"mHealth; Medicine; Disease; Family medicine; Diabetes mellitus; Environmental health; Non-communicable disease; Health care; Gerontology; Nursing; Psychological intervention; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01008484,0.0002689624,0.0008601166,0.000153654,0.003412712,0.00002687374,0.0003337572,0.0001865961,0.00003348874],"category_scores_gemma":[0.002356478,0.0002585152,0.0001293374,0.001333249,0.0002894813,0.0001394174,0.0002067221,0.002151169,0.00001712265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360433,"about_ca_system_score_gemma":0.004307709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133279,"about_ca_topic_score_gemma":0.003704123,"domain_scores_codex":[0.9816379,0.01378728,0.001515238,0.0006276512,0.001005245,0.001426697],"domain_scores_gemma":[0.9932878,0.001888706,0.0002450388,0.0008673758,0.0007249896,0.002986094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001112909,0.003426666,0.7540792,0.003608926,0.0000435859,0.00001717768,0.003274858,0.000168423,0.000003083047,0.004785769,0.0005560242,0.2289234],"study_design_scores_gemma":[0.003543962,0.002861736,0.956477,0.0002725789,0.00005744703,0.000001781493,0.01174921,0.01064753,1.17819e-7,0.0002050961,0.01398394,0.0001995299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670152,0.003447294,0.003201783,0.01181361,0.0002290336,0.01165351,0.002228222,0.000205756,0.0002055964],"genre_scores_gemma":[0.9832324,0.0004141966,0.007174694,0.002856184,0.0002767546,0.005606755,0.0004059477,0.00003156436,0.000001528239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2287239,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1690191204453197,"score_gpt":0.5323566259729621,"score_spread":0.3633375055276423,"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."}}