{"id":"W2113202834","doi":"10.2196/mhealth.3048","title":"Evaluating User Perceptions of Mobile Medication Management Applications With Older Adults: A Usability Study","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Usability; Medication therapy management; System usability scale; Self-management; Applied psychology; Session (web analytics); mHealth; Psychology; Computer science; Medicine; Web usability; Nursing; Human–computer interaction; World Wide Web; Psychological intervention; Artificial intelligence","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":[0.004361192,0.0003392398,0.0007167461,0.0003044751,0.002098945,0.000009707487,0.0003114502,0.0002284047,0.0003081064],"category_scores_gemma":[0.00007064027,0.0002819019,0.00005345438,0.0007965802,0.0002245944,0.0001447912,0.0001263058,0.0008214478,0.00009631101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219346,"about_ca_system_score_gemma":0.001078174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008675802,"about_ca_topic_score_gemma":0.0007421541,"domain_scores_codex":[0.9938205,0.001330156,0.001978665,0.001009406,0.0007383776,0.001122908],"domain_scores_gemma":[0.9950758,0.0007920898,0.001122816,0.001298453,0.0005043154,0.001206593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006922149,0.003166834,0.4272412,0.0214489,0.00004390402,4.03433e-7,0.01265361,0.00003377172,0.00000660597,0.01571376,0.001751055,0.5172477],"study_design_scores_gemma":[0.0055466,0.001945266,0.9383234,0.0005122742,0.0001924248,0.000003492533,0.02695851,0.0009515968,6.180213e-7,0.0003895654,0.02489508,0.0002811825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558337,0.0003492466,0.01060114,0.00149735,0.000146229,0.02922744,0.00006272561,0.0002392079,0.002042999],"genre_scores_gemma":[0.898316,0.0007201836,0.006455844,0.001592198,0.000292946,0.09219229,0.0001136307,0.0000516707,0.0002652702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5169665,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05457163694253905,"score_gpt":0.4894151637070432,"score_spread":0.4348435267645042,"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."}}