{"id":"W2947474623","doi":"10.2196/13645","title":"Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis","year":2019,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University","keywords":"Self-management; Internet privacy; mHealth; App store; Smartphone app; Computer science; Medicine; Inclusion (mineral); Mobile apps; World Wide Web; Psychology; Nursing; 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"],"consensus_categories":[],"category_scores_codex":[0.003373667,0.0009064698,0.007187507,0.001020666,0.0009480967,0.00001147604,0.0004543479,0.0007587401,0.0003054073],"category_scores_gemma":[0.00005865482,0.000724392,0.0004759623,0.00281824,0.00009135684,0.00008373612,0.0004684447,0.001547254,0.0005310439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000523766,"about_ca_system_score_gemma":0.00342934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003804543,"about_ca_topic_score_gemma":0.0001071758,"domain_scores_codex":[0.9898314,0.00123146,0.004722583,0.00164323,0.0006230901,0.001948222],"domain_scores_gemma":[0.9911436,0.0008066796,0.002752538,0.001772134,0.0004477759,0.003077306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000224175,0.000117334,0.0001344153,0.5087304,0.0003113581,0.000003568768,0.0001110929,4.201622e-8,6.864791e-9,0.001115485,0.01839831,0.4710556],"study_design_scores_gemma":[0.0008661544,0.0004228789,0.001773215,0.03239616,0.01597961,0.00002135962,0.0002150206,0.000003597814,5.616583e-9,0.00001167438,0.9478669,0.0004434935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008520118,0.9669368,0.00005628253,0.002791269,0.0004907226,0.0273515,0.000522044,0.0001669645,0.00159927],"genre_scores_gemma":[0.00004707351,0.9627571,0.001440202,0.0150978,0.000209674,0.01786206,0.0006910118,0.0001136335,0.001781405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9294685,"threshold_uncertainty_score":0.9995207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2875985841809618,"score_gpt":0.5046597206731742,"score_spread":0.2170611364922124,"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."}}