{"id":"W2271840788","doi":"10.2196/mhealth.4966","title":"A Mobile App for Hypertension Management Based on Clinical Practice Guidelines: Development and Deployment","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medication adherence; Mobile apps; Blood pressure; Disease management; Physical therapy; Patient satisfaction; Disease; Internal medicine; Nursing; World Wide Web; Computer science","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":[0.005592393,0.001040483,0.0006302603,0.001644329,0.00050185,0.001043019,0.001038659,0.001301729,0.006401722],"category_scores_gemma":[0.01357946,0.0004534992,0.0007716987,0.0009046074,0.0002301119,0.001323449,0.001229743,0.0008862448,0.003144943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296809,"about_ca_system_score_gemma":0.001736208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009533587,"about_ca_topic_score_gemma":0.001738062,"domain_scores_codex":[0.997238,0.001289061,0.0003870371,0.0002281055,0.0007010562,0.000156628],"domain_scores_gemma":[0.9929888,0.003598264,0.0004098373,0.0002996802,0.001967073,0.0007364054],"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":[0.0006952795,0.003549735,0.01439306,0.002433712,0.0001174901,0.001072725,0.001896251,0.0005181524,0.01013198,0.0003309274,0.0341033,0.9307575],"study_design_scores_gemma":[0.008766317,0.04790551,0.444762,0.017058,0.002506439,0.01802546,0.01083506,0.0554619,0.03809503,0.00528899,0.3499204,0.001374915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6868185,0.006859046,0.1639711,0.007427591,0.00183819,0.07346783,0.006521135,0.02361773,0.02947892],"genre_scores_gemma":[0.2975909,0.005258003,0.6512395,0.002031207,0.0004403228,0.02992131,0.004749567,0.0006100044,0.008159193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006401722,"threshold_uncertainty_score":0.02957577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1859262489595921,"score_gpt":0.4602015604465332,"score_spread":0.2742753114869411,"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."}}