{"id":"W3216758795","doi":"10.1016/s0140-6736(21)02643-x","title":"Beyond COVID-19: scaling up and sustaining mobile health in Africa – Authors' reply","year":2021,"lang":"en","type":"letter","venue":"The Lancet","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"International Development Research Centre; McGill University","keywords":"Scopus; Psychological intervention; Perspective (graphical); Politics; Political science; Coronavirus disease 2019 (COVID-19); Public relations; Health care; Argument (complex analysis); Economic growth; Business; Medicine; MEDLINE; Computer science; Nursing; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008261419,0.001074731,0.002029316,0.00113223,0.007114881,0.007620947,0.002958015,0.1100965,0.01045814],"category_scores_gemma":[0.04899827,0.001315493,0.001775796,0.001094878,0.006807316,0.01064137,0.006186282,0.08530507,0.006191837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005193979,"about_ca_system_score_gemma":0.01483884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997097,"about_ca_topic_score_gemma":0.02513768,"domain_scores_codex":[0.9916181,0.002139965,0.001227131,0.0009739409,0.002073053,0.001967853],"domain_scores_gemma":[0.9725137,0.01630022,0.001760517,0.00050608,0.003714077,0.005205316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002971971,0.00001918486,0.0002983807,0.00011209,0.0000182901,0.000392723,0.0004335083,0.00002872326,0.0001082719,0.002693306,0.9922145,0.003651288],"study_design_scores_gemma":[0.0001135254,0.0000603877,0.001086278,0.0006632064,0.00005431942,0.0005110742,0.002155343,0.0001529416,0.000211878,0.01108618,0.983763,0.0001418008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000102776,0.0005964309,0.0000310838,0.9855849,0.01314961,0.000005974326,0.0000374707,0.000009048249,0.0004826748],"genre_scores_gemma":[0.0007267846,0.0003366135,0.00006083833,0.9878769,0.008751494,0.00002910297,0.00001061524,0.00001210067,0.002195422],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1100965,"threshold_uncertainty_score":0.04369104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127295744994727,"score_gpt":0.4472906098899732,"score_spread":0.3345610353905005,"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."}}