{"id":"W2276905783","doi":"10.2196/mhealth.5167","title":"The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Grand Challenges Canada; Mitacs; Canadian Child Health Clinician Scientist Program","keywords":"Usability; Medicine; mHealth; Mobile apps; Health care; Medical emergency; Environmental health; Nursing; Psychological intervention; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01156752,0.0007202739,0.000599144,0.0008097057,0.001179708,0.001591475,0.0009326654,0.0008968859,0.001405376],"category_scores_gemma":[0.01976301,0.0006072402,0.0005797681,0.0003865086,0.0008872388,0.001391759,0.001856939,0.0006553615,0.0002319424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008733157,"about_ca_system_score_gemma":0.002003071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001512964,"about_ca_topic_score_gemma":0.002995502,"domain_scores_codex":[0.995568,0.002869421,0.0004207633,0.0002662164,0.0004534341,0.00042216],"domain_scores_gemma":[0.9906139,0.006201775,0.0006237882,0.0003127462,0.00166326,0.000584434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006885605,0.01782933,0.2626022,0.008104139,0.0002642212,0.005468267,0.2651109,0.002264285,0.02412736,0.0008902969,0.004892362,0.4015611],"study_design_scores_gemma":[0.003403368,0.1259705,0.5281979,0.005254686,0.001037078,0.005214217,0.2632389,0.01032372,0.01810874,0.001825009,0.03665479,0.0007711564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945197,0.0002281959,0.001756825,0.0001729501,0.00001211458,0.002581109,0.00005201403,0.00003915807,0.0006380285],"genre_scores_gemma":[0.9649267,0.0007955294,0.02572468,0.0003105812,0.00002232032,0.007205618,0.00008749501,0.00002400394,0.0009029703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156752,"threshold_uncertainty_score":0.06117558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09863344375249489,"score_gpt":0.502675467353759,"score_spread":0.4040420236012641,"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."}}