{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003691262,0.0008425412,0.003004132,0.000544677,0.002127056,0.00002505408,0.0002011726,0.0007845268,0.0004564686],"category_scores_gemma":[0.0001375781,0.0006223922,0.0001670867,0.0007981319,0.0001301159,0.0001659713,0.0001817686,0.000816061,0.0005924727],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293749,"about_ca_system_score_gemma":0.006552554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000271439,"about_ca_topic_score_gemma":0.0003914507,"domain_scores_codex":[0.9915429,0.001969837,0.002824297,0.001621938,0.0004686304,0.001572421],"domain_scores_gemma":[0.9929906,0.0009695306,0.001561229,0.001071805,0.000357767,0.003049126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001451181,0.00008646879,0.0000577342,0.1770743,0.00003004602,2.736442e-7,0.0001321068,4.023861e-9,2.861387e-8,0.0009556239,0.01032564,0.8113232],"study_design_scores_gemma":[0.001073492,0.000687275,0.0007105127,0.02390933,0.002234842,0.00003552186,0.00003918838,0.000001948843,1.258697e-8,0.0003567221,0.9705335,0.0004176353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004497727,0.9417228,0.0001113642,0.007206556,0.0002090454,0.04868845,0.0006773031,0.0001601162,0.001179375],"genre_scores_gemma":[0.00001659948,0.8369734,0.0003653635,0.00609749,0.0006266329,0.1535475,0.0008089983,0.0001085043,0.001455526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9602079,"threshold_uncertainty_score":0.9996228,"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."}}