{"id":"W3044144653","doi":"10.2196/20596","title":"Mobile Health Apps That Help With COVID-19 Management: Scoping Review","year":2020,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Android (operating system); Internet privacy; Coronavirus disease 2019 (COVID-19); Contact tracing; Mobile apps; Mobile phone; App store; Mobile device; World Wide Web; Computer science; Medicine; Infectious disease (medical specialty); Nursing; Disease; Psychological intervention","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008716563,0.0002803972,0.0006683185,0.0001014494,0.002044485,0.00001405011,0.0003016657,0.0001257037,0.0006174923],"category_scores_gemma":[0.00006053738,0.0002486467,0.00006959068,0.0007873409,0.00009920225,0.0001419055,0.00006756922,0.000729559,0.0005972301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007367032,"about_ca_system_score_gemma":0.002151324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006099684,"about_ca_topic_score_gemma":0.00003942658,"domain_scores_codex":[0.9961399,0.0005575416,0.0009386169,0.0007109216,0.0004369644,0.001216092],"domain_scores_gemma":[0.9962056,0.0002297783,0.0006543763,0.0006085983,0.00007442938,0.00222725],"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":[0.0002273393,0.0002159729,0.002180141,0.2429121,0.00002294107,0.00001563842,0.006345414,0.00003128391,0.000002908707,0.008100861,0.4787596,0.2611859],"study_design_scores_gemma":[0.001811607,0.0005703454,0.0002679222,0.1329701,0.00004245478,0.00001007212,0.004991516,0.00008463661,0.000001809389,0.0001945512,0.8587227,0.0003323152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006928081,0.2753942,0.09007047,0.3607172,0.001323295,0.1857433,0.0001468561,0.003047343,0.08286441],"genre_scores_gemma":[0.03040593,0.146533,0.01155319,0.6579557,0.001161632,0.1504862,0.0003597673,0.0002160083,0.001328568],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3799631,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414918808186668,"score_gpt":0.5212880881545268,"score_spread":0.3797962073358599,"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."}}