{"id":"W3167831474","doi":"10.7717/peerj.11491","title":"Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"mHealth; Medicine; Randomized controlled trial; Treatment and control groups; Clinical trial; Mobile apps; Medication adherence; Physical therapy; Internal medicine; Nursing; World Wide Web; Psychological intervention; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002813093,0.001058424,0.002655585,0.0005208222,0.0007605231,0.00120301,0.0007622561,0.002501648,0.008317973],"category_scores_gemma":[0.004425831,0.000547882,0.003181408,0.0005443852,0.0009174664,0.001187784,0.0006124816,0.002443304,0.000802184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000534935,"about_ca_system_score_gemma":0.001054958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009990414,"about_ca_topic_score_gemma":0.001910978,"domain_scores_codex":[0.9982175,0.001007035,0.0002271225,0.0002171828,0.0001806032,0.0001503827],"domain_scores_gemma":[0.9981755,0.0008645373,0.0003695625,0.0001293032,0.0001694639,0.0002915692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.9395663,0.02807547,0.001575516,0.003261141,0.003677022,0.00005974302,0.0001541187,0.000104716,0.00106319,0.00009891575,0.0005507849,0.02181324],"study_design_scores_gemma":[0.8703106,0.1212268,0.00461168,0.0002513171,0.002228547,0.00002324781,0.00007285731,0.00024903,0.0002207359,0.0001053134,0.0006838507,0.00001604395],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708942,0.008236288,0.0006326009,0.0009661763,0.001117431,0.01501751,0.0007026053,0.00008056366,0.002352606],"genre_scores_gemma":[0.9656771,0.004978583,0.002657205,0.001360801,0.0008645048,0.02097939,0.0004759375,0.00001333731,0.00299307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008317973,"threshold_uncertainty_score":0.02782643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1986037953758037,"score_gpt":0.5252429372780982,"score_spread":0.3266391419022946,"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."}}