{"id":"W2602524156","doi":"","title":"Going mobile: Scaling up mHealth initiatives in LMICs","year":2015,"lang":"en","type":"article","venue":"Global Health: Annual Review","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"mHealth; Stakeholder; Telemedicine; Thematic analysis; Low and middle income countries; Public relations; Scale (ratio); Public health; Business; Medical education; Nursing; Qualitative research; Medicine; Developing country; Health care; Political science; Economic growth; Psychological intervention; Sociology; Geography","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":[0.004659442,0.000553031,0.0002790752,0.0007677525,0.005918039,0.004094394,0.001460445,0.001876823,0.007486268],"category_scores_gemma":[0.005306629,0.0002195833,0.0004025234,0.001157527,0.004320194,0.003014121,0.00892528,0.002200584,0.0006841762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003693965,"about_ca_system_score_gemma":0.008528402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0068766,"about_ca_topic_score_gemma":0.009329891,"domain_scores_codex":[0.99651,0.002188114,0.00008834702,0.0001351542,0.0002481949,0.0008302336],"domain_scores_gemma":[0.9964907,0.001699418,0.0003310111,0.0001406859,0.0002270777,0.001111009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002350344,0.001033359,0.03921301,0.004612633,0.00005858235,0.009715878,0.3994443,0.0005480444,0.008837943,0.01248544,0.02036226,0.5034535],"study_design_scores_gemma":[0.000124531,0.001631466,0.05087232,0.004708855,0.0000930262,0.003085078,0.7103657,0.0004255049,0.00270455,0.004714609,0.2211902,0.00008420792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8372583,0.008328189,0.004668045,0.071081,0.0006614568,0.001634166,0.0001728898,0.0002091057,0.07598682],"genre_scores_gemma":[0.9748473,0.006066637,0.007046599,0.005943117,0.0002356446,0.0009514719,0.00009040882,0.00004059801,0.004778218],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007486268,"threshold_uncertainty_score":0.02680176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114469093152772,"score_gpt":0.5380801121823019,"score_spread":0.4266332028670247,"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."}}