{"id":"W3086744783","doi":"10.2196/21759","title":"The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Meta-analysis; Psychological intervention; mHealth; Systematic review; Randomized controlled trial; Behavior change methods; Smartphone app; Blood pressure; MEDLINE; Intervention (counseling); Digital health; Physical therapy; Health care; Internal medicine; Nursing; World Wide Web","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":[0.01049724,0.00290236,0.02044598,0.006226796,0.0006660818,0.002821347,0.002052232,0.002510793,0.003914952],"category_scores_gemma":[0.02920552,0.001403665,0.04116209,0.005467527,0.0007596391,0.001891427,0.001521863,0.002248978,0.0002358075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941744,"about_ca_system_score_gemma":0.003897459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007626087,"about_ca_topic_score_gemma":0.01507092,"domain_scores_codex":[0.9913585,0.004151902,0.002438126,0.0007963057,0.001002803,0.0002524039],"domain_scores_gemma":[0.985011,0.01119406,0.00215377,0.0003566311,0.001076455,0.0002080949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002733272,0.00006013943,0.00149515,0.4997555,0.4817672,0.00007963002,0.00008166663,0.0004190023,0.0001664949,0.0001016794,0.000403542,0.01293664],"study_design_scores_gemma":[0.001029428,0.0003306705,0.002219688,0.02903184,0.9658653,0.00005753885,0.00003886807,0.0001765711,0.0001125879,0.0001102672,0.001007849,0.00001942506],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005390823,0.9925923,0.0004451829,0.0001424813,0.0001617851,0.0006025077,0.0004131985,0.0000273787,0.0002242867],"genre_scores_gemma":[0.176692,0.8160756,0.002608555,0.0007917844,0.0002826529,0.002451604,0.0007229497,0.00002674169,0.0003479291],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02044598,"threshold_uncertainty_score":0.05551541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721443331053486,"score_gpt":0.4973635997892055,"score_spread":0.3252192666838568,"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."}}