{"id":"W4409549713","doi":"10.5334/gh.1423","title":"Community Health Workers Equipped with an mHealth Application Can Accurately Diagnose Hypertension in Rural Guatemala","year":2025,"lang":"en","type":"article","venue":"Global Heart","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovative Research Group (Canada); University of Toronto","funders":"Fogarty International Center; National Institute of General Medical Sciences","keywords":"Medicine; mHealth; Kappa; Blood pressure; Cohen's kappa; Medical history; Health care; Community health; Family medicine; Pediatrics; Emergency medicine; Internal medicine; Nursing; Public health; Psychological intervention","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":[0.002503292,0.0003408085,0.0007445092,0.0001979714,0.00253348,0.00001917312,0.0004197495,0.0003389434,0.00003273894],"category_scores_gemma":[0.0001591761,0.0003026455,0.000052442,0.001754896,0.000134484,0.0001892284,0.0001594775,0.001567935,0.0001495025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196491,"about_ca_system_score_gemma":0.005242123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1358016,"about_ca_topic_score_gemma":0.1833158,"domain_scores_codex":[0.9937013,0.002478733,0.001331062,0.0005321049,0.0003407177,0.001616119],"domain_scores_gemma":[0.9964758,0.0005158015,0.0004048333,0.001324692,0.0002945775,0.0009843216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008625389,0.0008218482,0.8774781,0.001380457,0.00001150587,0.000002755503,0.0005331167,0.00006661237,0.0000154024,0.01113115,0.03291659,0.07477993],"study_design_scores_gemma":[0.002852658,0.0005629813,0.9266403,0.00108185,0.00001562075,0.00001016169,0.006462695,0.0006593165,0.000002777571,0.002199624,0.05925681,0.0002552499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436706,0.0006299624,0.0007890973,0.04203095,0.0004207597,0.008460509,0.0001666113,0.0003897817,0.003441691],"genre_scores_gemma":[0.9580203,0.0003666332,0.0012864,0.03230057,0.0001107645,0.00725995,0.0004426589,0.00002857867,0.0001841308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07452468,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07144456180631399,"score_gpt":0.4627420250084919,"score_spread":0.391297463202178,"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."}}