{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002646714,0.0004395343,0.0002179117,0.0009407731,0.0006677159,0.000623418,0.000383512,0.0004695885,0.001076247],"category_scores_gemma":[0.009050542,0.0002169144,0.000274811,0.000727306,0.000511914,0.0003717646,0.0009796872,0.0003130602,0.0003453437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567847,"about_ca_system_score_gemma":0.0008291336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03611382,"about_ca_topic_score_gemma":0.05982781,"domain_scores_codex":[0.9980421,0.001146369,0.000111932,0.0002412026,0.0002212399,0.0002370145],"domain_scores_gemma":[0.9966726,0.001321312,0.001061025,0.0001950179,0.0005532738,0.0001966995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001244128,0.0000784251,0.9884871,0.00006617649,0.00004049066,0.000114226,0.001766447,0.0000994349,0.0008094538,0.0000172814,0.0002825665,0.00811386],"study_design_scores_gemma":[0.00001173864,0.0002272718,0.9966205,0.00003888399,0.00002950722,0.0001066104,0.001371402,0.0007789238,0.0002797656,0.00003263381,0.0004962136,0.000006504943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997954,0.0001784421,0.0003262673,0.0002202903,0.000007575199,0.00006056926,0.000174656,0.00002585869,0.001052198],"genre_scores_gemma":[0.9990429,0.00008386541,0.0005531542,0.00008208439,0.000006550154,0.00003838741,0.0000760656,0.000002239918,0.0001146703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03611382,"threshold_uncertainty_score":0.07180727,"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."}}