{"id":"W4292702222","doi":"10.2196/36260","title":"Developing Population Health Surveillance Using mHealth in Low-Resource Settings: Qualitative Assessment and Pilot Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Anna-Maria and Stephen Kellen Foundation","keywords":"mHealth; Population; Medicine; Psychological intervention; Knowledge management; Business; Nursing; Environmental health; Computer science","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":[0.07520267,0.000718749,0.0006826108,0.001612358,0.004599578,0.002396265,0.002600848,0.001063553,0.002500866],"category_scores_gemma":[0.04900604,0.0007215209,0.0008397712,0.001379875,0.00386721,0.00265481,0.006420901,0.001528524,0.0003429964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00782946,"about_ca_system_score_gemma":0.01846029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005696428,"about_ca_topic_score_gemma":0.01074469,"domain_scores_codex":[0.9730756,0.02157429,0.001027093,0.0006732767,0.001753845,0.001896047],"domain_scores_gemma":[0.9465606,0.03909582,0.002080722,0.001903391,0.007952228,0.002407291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003339132,0.003427845,0.02770748,0.00393049,0.00004865551,0.001605708,0.7980947,0.0009482439,0.006193295,0.002908861,0.002769147,0.1520316],"study_design_scores_gemma":[0.0005787552,0.005605573,0.02758687,0.002919388,0.0001159716,0.0005642683,0.9218556,0.002694218,0.009556252,0.002626008,0.02575824,0.0001388247],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472197,0.0002815437,0.01917271,0.001689375,0.00006169903,0.02514627,0.0005285827,0.0001241869,0.005776036],"genre_scores_gemma":[0.8684168,0.001049742,0.08875772,0.001060648,0.00002748689,0.03819467,0.0003413672,0.0000511075,0.002100416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07520267,"threshold_uncertainty_score":0.3977145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3457687474901912,"score_gpt":0.6505665512529513,"score_spread":0.3047978037627601,"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."}}