{"id":"W4399407442","doi":"10.2196/53211","title":"Using mHealth Technologies for Case Finding in Tuberculosis and Other Infectious Diseases in Africa: Systematic Review","year":2024,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"mHealth; Tuberculosis; Contact tracing; Public health; Medicine; Human immunodeficiency virus (HIV); Pandemic; Case finding; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Computer science; Family medicine; Psychological intervention; Disease; Nursing; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0138716,0.001739235,0.007948135,0.01203398,0.000912949,0.003369713,0.002262523,0.002404154,0.004374413],"category_scores_gemma":[0.0725396,0.001197783,0.008967236,0.01340408,0.0009882941,0.003684464,0.001929948,0.001476056,0.0003314606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004609371,"about_ca_system_score_gemma":0.01838614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009571575,"about_ca_topic_score_gemma":0.02524758,"domain_scores_codex":[0.9870778,0.004859514,0.004620061,0.0007544269,0.002277042,0.0004111541],"domain_scores_gemma":[0.9350992,0.04959669,0.009811519,0.0007465046,0.004283209,0.0004628588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001111637,0.00001862769,0.0006157815,0.9677485,0.004716374,0.00006484643,0.0001932336,0.00006267756,0.00006633157,0.0001000868,0.0007678174,0.02553467],"study_design_scores_gemma":[0.0001692526,0.0001722749,0.002718259,0.9435971,0.04319158,0.0002297839,0.000347322,0.00007864155,0.0001431527,0.0001758744,0.009147932,0.0000287546],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009558595,0.9972933,0.0001847965,0.0002459151,0.0001130479,0.0006525455,0.0002940685,0.000009457596,0.0002509919],"genre_scores_gemma":[0.01347802,0.9834632,0.0009459365,0.0004375061,0.00009132695,0.001282275,0.0001986205,0.000005457202,0.00009773035],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0138716,"threshold_uncertainty_score":0.07336086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2275155947328267,"score_gpt":0.5353810886623468,"score_spread":0.3078654939295201,"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."}}