{"id":"W2393830291","doi":"10.2196/mhealth.5022","title":"Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation","year":2016,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institute of Mental Health; National Institutes of Health","keywords":"mHealth; Login; Android (operating system); Internet privacy; Usage data; Mobile apps; App store; Download; Medicine; World Wide Web; Tuberculosis; Password; Computer science; Psychological intervention; Nursing; Computer security","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":[0.00473922,0.0008913806,0.003154054,0.005197991,0.0005164822,0.001934569,0.001678536,0.001519084,0.005148181],"category_scores_gemma":[0.01659297,0.000561619,0.003423482,0.003748808,0.0006348043,0.001779199,0.001347706,0.001259254,0.0006650292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118414,"about_ca_system_score_gemma":0.005167548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921228,"about_ca_topic_score_gemma":0.006860635,"domain_scores_codex":[0.9975418,0.0007833756,0.0007939295,0.0001492959,0.0006196745,0.0001120046],"domain_scores_gemma":[0.9845108,0.01114968,0.001760237,0.0001526056,0.002171645,0.0002550105],"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":[0.0003413183,0.0001061104,0.0004376189,0.5767449,0.00134456,0.0001122231,0.0002794283,0.0001268616,0.0003944568,0.00063642,0.004978097,0.414498],"study_design_scores_gemma":[0.000339429,0.001181767,0.006032575,0.8134187,0.0161209,0.0008894757,0.0004703633,0.0002703007,0.000644158,0.0005922099,0.1599672,0.00007286014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005108056,0.998297,0.00008274072,0.0002444847,0.0001125944,0.000131803,0.00007667841,0.000007387756,0.0005364952],"genre_scores_gemma":[0.003507592,0.9955342,0.0003407963,0.0002667752,0.00006820459,0.0001318805,0.00006001602,0.000002650398,0.00008798913],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005197991,"threshold_uncertainty_score":0.02506369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996160822597409,"score_gpt":0.5611365854056191,"score_spread":0.3615205031458781,"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."}}