{"id":"W2441617215","doi":"10.2196/mhealth.5882","title":"Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS)","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institute on Aging; Agency for Healthcare Research and Quality","keywords":"Mobile phone; Medical emergency; Medicine; mHealth; Scale (ratio); Heart failure; Phone; Mobile apps; Health care; Self-management; Rating scale; Intensive care medicine; Psychological intervention; Nursing; Computer science; Psychology; 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":[0.0064358,0.001001274,0.002809671,0.01576966,0.0007031833,0.002032293,0.001576957,0.001234791,0.002740028],"category_scores_gemma":[0.03780646,0.0006007038,0.003322652,0.01128925,0.0006645572,0.002086179,0.001272253,0.0007791343,0.0005781364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014756,"about_ca_system_score_gemma":0.00783006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651068,"about_ca_topic_score_gemma":0.0110913,"domain_scores_codex":[0.9934935,0.001710934,0.002773425,0.0004027986,0.001488384,0.0001309217],"domain_scores_gemma":[0.9415753,0.04372603,0.006963768,0.0006483166,0.00668275,0.000403842],"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":[0.000239052,0.00005518089,0.002883244,0.695085,0.001938653,0.0005199229,0.0009007879,0.0001187673,0.0007379159,0.0003642696,0.008018848,0.2891384],"study_design_scores_gemma":[0.0001573782,0.0004739691,0.02450976,0.8549995,0.01636935,0.002051942,0.0008119469,0.0003104662,0.0007690497,0.0003513188,0.09911775,0.00007754138],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004520126,0.9909796,0.0005481467,0.0007300549,0.0002550253,0.0005083178,0.001008137,0.00004045737,0.001410202],"genre_scores_gemma":[0.02433594,0.9695796,0.002314678,0.001237944,0.0002201077,0.0009584585,0.0009718804,0.00002407417,0.0003572821],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01576966,"threshold_uncertainty_score":0.03403616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05735407670989995,"score_gpt":0.4581158090562905,"score_spread":0.4007617323463906,"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."}}