{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0104726,0.0005581118,0.001088794,0.0003137495,0.005999121,0.00004628288,0.0004139849,0.0004163443,0.0000281655],"category_scores_gemma":[0.0007342225,0.0003647224,0.0001141262,0.0008835984,0.00027598,0.0002135082,0.0002506392,0.001281998,0.00002947884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100222,"about_ca_system_score_gemma":0.00717389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003259276,"about_ca_topic_score_gemma":0.008379588,"domain_scores_codex":[0.9893043,0.002865848,0.002623784,0.001625931,0.0005660239,0.003014093],"domain_scores_gemma":[0.9899606,0.003868493,0.001211768,0.001341635,0.0003824111,0.003235157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001247615,0.0002842385,0.7645395,0.005412757,0.00001604404,5.651719e-7,0.003387378,0.0000051169,0.000004192039,0.001632977,0.0145353,0.2089343],"study_design_scores_gemma":[0.004403317,0.001546225,0.9007493,0.0003868717,0.0000444605,0.000003665803,0.005083836,0.00007362213,0.000001813021,0.001265312,0.0860697,0.0003718285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388596,0.0128197,0.006006073,0.08542414,0.00109639,0.05385012,0.001326512,0.0002936119,0.0003238896],"genre_scores_gemma":[0.9145263,0.02043519,0.004055299,0.009059574,0.000684646,0.05090223,0.00007029901,0.00009373419,0.000172683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2085625,"threshold_uncertainty_score":0.9998805,"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."}}