{"id":"W2559712102","doi":"10.2196/mhealth.6742","title":"Mobile Phone Apps to Improve Medication Adherence: A Systematic Stepwise Process to Identify High-Quality Apps","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Sumatera Utara; Universitas Gadjah Mada; Universitas Sam Ratulangi; Karnatak University Dharwad; Universitas Hasanuddin; University of Delhi; Kerman University of Medical Sciences; Razi University; Universitas Brawijaya; Hamadan University of Medical Sciences; Osmania University; University of Calcutta; Aligarh Muslim University; Universitas Sriwijaya; University of the Punjab; Universitas Udayana; All-India Institute of Medical Sciences; Kasturba Medical College, Manipal; University of Madras; Goa University","keywords":"App store; Mobile apps; Mobile phone; Quality (philosophy); Ranking (information retrieval); Phone; mHealth; Medicine; Computer science; World Wide Web; Internet privacy; Psychological intervention; Information retrieval; 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":[0.08131973,0.004685895,0.01375148,0.04632053,0.004098623,0.005915338,0.004442601,0.003253829,0.00710816],"category_scores_gemma":[0.1774455,0.003250236,0.01402762,0.02491192,0.002500445,0.009326626,0.00845871,0.002509314,0.001811524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008306617,"about_ca_system_score_gemma":0.07142188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635295,"about_ca_topic_score_gemma":0.04985422,"domain_scores_codex":[0.9248307,0.02213291,0.03260104,0.004659574,0.0141397,0.001636034],"domain_scores_gemma":[0.8208897,0.1004592,0.02682689,0.006126447,0.04376463,0.001933068],"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":[0.001010692,0.0002126065,0.008407149,0.8027282,0.004680783,0.001520354,0.01233748,0.0006295993,0.003691091,0.001492613,0.008131273,0.1551582],"study_design_scores_gemma":[0.002980616,0.001743968,0.02099438,0.8375337,0.05138352,0.002059951,0.008333721,0.002355912,0.004840611,0.006002855,0.06112688,0.000643938],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.03919677,0.2909153,0.04382349,0.004694983,0.001236556,0.5986015,0.01479896,0.001245628,0.005486767],"genre_scores_gemma":[0.09166538,0.1691343,0.319205,0.003380942,0.0004591328,0.404246,0.007445126,0.0002904061,0.004173669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08131973,"threshold_uncertainty_score":0.430065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07266877009652084,"score_gpt":0.5060531494447674,"score_spread":0.4333843793482466,"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."}}