{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006191165,0.0005890914,0.001529674,0.0005459256,0.002056822,0.00003279995,0.0006501308,0.0005865949,0.0003627106],"category_scores_gemma":[0.001082289,0.0004243477,0.00009142877,0.001249471,0.0001264733,0.0002921193,0.0002271,0.000893752,0.003109488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033247,"about_ca_system_score_gemma":0.00389843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713593,"about_ca_topic_score_gemma":0.0006420768,"domain_scores_codex":[0.9894289,0.001640254,0.003651817,0.001588247,0.00110652,0.002584262],"domain_scores_gemma":[0.9889021,0.001436505,0.001609505,0.001597771,0.0007876677,0.005666445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.002589086,0.001502858,0.013765,0.5799264,0.00008204816,0.000007430485,0.02807089,0.000005764436,0.00357866,0.02549642,0.0812512,0.2637242],"study_design_scores_gemma":[0.03540282,0.01220953,0.5938072,0.08108994,0.0008723548,0.00006340806,0.04183571,0.0001950152,0.0006177243,0.02230978,0.2058228,0.005773784],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167325,0.002112204,0.01025707,0.01938615,0.002528048,0.04665976,0.0006321114,0.0007571226,0.0009350017],"genre_scores_gemma":[0.8637226,0.001602087,0.0009417766,0.01511452,0.0008781839,0.1156305,0.00006283099,0.00009496756,0.001952533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800422,"threshold_uncertainty_score":0.9998208,"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."}}