{"id":"W4405686532","doi":"10.2196/63653","title":"Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Usability; Medication adherence; Preprint; Medicine; World Wide Web; Internal medicine; Computer science; Operating system","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":[0.002754219,0.0001985754,0.0005029378,0.0007869409,0.0007292503,0.0007590232,0.000280168,0.0005546916,0.002121434],"category_scores_gemma":[0.005725217,0.0002729672,0.001058521,0.0008193576,0.0003427844,0.0007310212,0.0008715463,0.0008275317,0.0003356828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005756088,"about_ca_system_score_gemma":0.0008208112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005441585,"about_ca_topic_score_gemma":0.007295364,"domain_scores_codex":[0.9983058,0.0005956872,0.0002677246,0.0001470481,0.0004387123,0.0002449833],"domain_scores_gemma":[0.9950927,0.001235527,0.001527562,0.0001756839,0.00113808,0.0008304646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002438685,0.000977807,0.9857287,0.0001406829,0.0001653176,0.00006089687,0.002150574,0.00003837521,0.0002625387,0.00001739605,0.0005068423,0.009707101],"study_design_scores_gemma":[0.00003774744,0.001496847,0.9947583,0.00003289832,0.00006977411,0.0001228745,0.002587245,0.0002379093,0.0001043473,0.00001001002,0.000528269,0.00001369826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990682,0.00006663032,0.00005278051,0.00006720115,0.000002620987,0.00006722891,0.0003101162,0.000003412109,0.0003617858],"genre_scores_gemma":[0.9989061,0.0001099695,0.0002001073,0.000187616,0.000009551823,0.0001186837,0.0002830245,0.000002392462,0.0001825731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005441585,"threshold_uncertainty_score":0.01456594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943191294536795,"score_gpt":0.4068660261711937,"score_spread":0.3374341132258258,"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."}}