{"id":"W2126256481","doi":"10.2196/mhealth.2779","title":"Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review of the Literature and App Stores","year":2014,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Cause of death; Disease; Medicine; Mobile phone; Scopus; App store; Telemedicine; Health care; Internet privacy; MEDLINE; World Wide Web; Computer science; Pathology; Psychological intervention; Telecommunications; Nursing","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":[0.002932247,0.0009603579,0.002920754,0.03252656,0.0005860486,0.002318467,0.00118326,0.001031179,0.004946434],"category_scores_gemma":[0.01296123,0.0005207934,0.003545516,0.02463618,0.0005993199,0.002520036,0.001158867,0.0006589332,0.0006240475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596137,"about_ca_system_score_gemma":0.003597403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005552128,"about_ca_topic_score_gemma":0.01173267,"domain_scores_codex":[0.9971994,0.0005294679,0.0011648,0.0003309807,0.0006562893,0.0001190308],"domain_scores_gemma":[0.9816425,0.01300607,0.003012598,0.0001235113,0.001989756,0.000225681],"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":[0.0004095067,0.00008145928,0.01306288,0.5841064,0.002947712,0.0006977293,0.001555344,0.0001427372,0.0004957821,0.0007725237,0.009169328,0.3865586],"study_design_scores_gemma":[0.0001503931,0.0005334471,0.0954775,0.7619764,0.02076706,0.003534993,0.005237411,0.0002042013,0.000648257,0.0007397201,0.1106244,0.0001062836],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003022637,0.9950736,0.00005015879,0.0003419092,0.0000932743,0.00005074085,0.0005866727,0.000007542422,0.0007733659],"genre_scores_gemma":[0.01427773,0.9844297,0.0002762442,0.0002825045,0.00009931596,0.0001067575,0.0003963762,0.000004459466,0.0001269537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03252656,"threshold_uncertainty_score":0.0165475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320173309681325,"score_gpt":0.5304436022092806,"score_spread":0.398426271241148,"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."}}