{"id":"W3127700251","doi":"10.2196/18834","title":"User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"mHealth; CINAHL; Medicine; Psychological intervention; Operationalization; eHealth; Disease; Gerontology; Health care; Nursing; Internal medicine","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003003691,0.0009717887,0.009422296,0.0001983496,0.001251811,0.00003177029,0.000418593,0.0004749879,0.0002445219],"category_scores_gemma":[0.0008439664,0.000622981,0.002122462,0.0006961035,0.00007221207,0.00008486926,0.0003252144,0.002312338,0.0006373662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100609,"about_ca_system_score_gemma":0.003494792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009711698,"about_ca_topic_score_gemma":0.000018034,"domain_scores_codex":[0.986098,0.007771316,0.002610864,0.001381077,0.001029453,0.001109306],"domain_scores_gemma":[0.9912401,0.001544965,0.001389912,0.003943107,0.0003567916,0.001525112],"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":[0.000002968766,0.00003626231,0.0003147052,0.9160396,0.002271358,0.00003711264,0.00006725628,3.628122e-7,4.0923e-10,0.00007965972,0.006278194,0.07487246],"study_design_scores_gemma":[0.000289514,0.00001375325,0.0002619714,0.3985302,0.01079389,0.00000884065,0.00007192834,2.109669e-7,5.734484e-10,0.000001272716,0.5897073,0.0003210968],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001592083,0.9431034,0.0002984705,0.0001193058,0.0004319873,0.05415186,0.001282747,0.0001875827,0.0004230323],"genre_scores_gemma":[0.000003901233,0.81385,0.0001316871,0.0009863649,0.0003010002,0.1827706,0.0003882624,0.0001580521,0.001410202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5834291,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625177320167586,"score_gpt":0.4369721414739744,"score_spread":0.3507203682722985,"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."}}