{"id":"W2895821558","doi":"10.2196/11919","title":"Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Arthritis Network; Michael Smith Health Research BC; Arthritis Society","keywords":"Mobile phone; mHealth; Medication adherence; Quality (philosophy); Internet privacy; Computer science; Multimedia; World Wide Web; Medicine; Psychological intervention; Nursing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007798468,0.0003117153,0.001415424,0.0004389363,0.001638186,0.00001018504,0.0002043334,0.0003458339,0.0005617894],"category_scores_gemma":[0.0002763171,0.000260674,0.0001067814,0.001283599,0.0003706446,0.000140965,0.000127199,0.0008175222,0.00005873013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323933,"about_ca_system_score_gemma":0.001785444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002954975,"about_ca_topic_score_gemma":0.001075497,"domain_scores_codex":[0.9927121,0.00173952,0.00312503,0.0008050489,0.0004860864,0.001132244],"domain_scores_gemma":[0.9940934,0.0007496627,0.002324698,0.000740445,0.000563034,0.001528771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004706969,0.000664013,0.590468,0.0191572,0.0001985261,5.680001e-7,0.01093873,0.000001201942,0.0004745278,0.02231685,0.04492965,0.31038],"study_design_scores_gemma":[0.001663855,0.0007113356,0.7813742,0.0003203616,0.0004376256,9.075073e-7,0.003946256,0.0006468982,0.000006151452,0.0002446533,0.2103966,0.0002512329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969124,0.01320447,0.00345728,0.002343333,0.0006683019,0.008933527,0.0002024673,0.0001337895,0.001932816],"genre_scores_gemma":[0.9255183,0.05322295,0.004301404,0.0058145,0.0005031716,0.009861247,0.0003005895,0.00003047072,0.0004473497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3101288,"threshold_uncertainty_score":0.9999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2490215490765998,"score_gpt":0.5559365724062096,"score_spread":0.3069150233296098,"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."}}