{"id":"W4214872470","doi":"10.2196/29415","title":"mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; American Heart Association","keywords":"mHealth; Interactivity; Psychological intervention; Self-management; eHealth; Psychology; Computer science; Medicine; Multimedia; Nursing; Health care; Political science","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007298613,0.0008832659,0.005584223,0.0006985394,0.003066551,0.00002395413,0.0004112693,0.0005277433,0.0001264552],"category_scores_gemma":[0.0005665811,0.0007402098,0.0004529565,0.000804122,0.000110511,0.0001342997,0.0006536333,0.003008965,0.00002081199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007730833,"about_ca_system_score_gemma":0.001521236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009817776,"about_ca_topic_score_gemma":0.0000244847,"domain_scores_codex":[0.9883083,0.003323276,0.004799991,0.001460546,0.0005648019,0.001543125],"domain_scores_gemma":[0.9856705,0.006900222,0.004443947,0.00129679,0.0001746597,0.001513862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004247497,0.0002694243,0.000009180409,0.781927,0.0001301797,0.000002791937,0.0002687928,3.229982e-8,2.441404e-9,0.01932495,0.001906816,0.1961184],"study_design_scores_gemma":[0.0005932489,0.0005675934,0.00004509991,0.517383,0.002901537,0.00002646091,0.0004601244,0.00001149672,3.097222e-9,0.0004222852,0.4773044,0.0002847099],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004624002,0.9517431,0.0002943357,0.001472906,0.0008423375,0.04457213,0.0004298174,0.0001839131,0.0004152576],"genre_scores_gemma":[0.000114871,0.9134178,0.002331993,0.004126517,0.0002345499,0.07914759,0.0002672849,0.0001480004,0.0002113871],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4753976,"threshold_uncertainty_score":0.9995049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3188846246515922,"score_gpt":0.5395938174426186,"score_spread":0.2207091927910264,"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."}}