{"id":"W2605596907","doi":"10.2196/mhealth.7268","title":"Usability of a Novel Mobile Health iPad App by Vulnerable Populations","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"mHealth; Usability; Population; Medicine; Health literacy; Telemedicine; Short Message Service; Health equity; Health care; Gerontology; Family medicine; Nursing; Psychological intervention; Public health; Environmental health; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.004960348,0.0004483344,0.001282662,0.0002205269,0.0110404,0.00003591098,0.0006544419,0.000464919,0.0002474741],"category_scores_gemma":[0.000528337,0.0004259105,0.0001200222,0.0003087423,0.0004835079,0.0003791955,0.0002602614,0.001780941,0.00006546326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721258,"about_ca_system_score_gemma":0.004331237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460051,"about_ca_topic_score_gemma":0.002375074,"domain_scores_codex":[0.9925963,0.0008537502,0.002739253,0.001040653,0.000560221,0.002209881],"domain_scores_gemma":[0.9910743,0.0006325815,0.00312518,0.002185816,0.0003852605,0.002596837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006985864,0.003440098,0.3026235,0.03142155,0.00003983553,0.000001064736,0.006202663,0.00002829446,0.0002096293,0.08453671,0.2268344,0.3439637],"study_design_scores_gemma":[0.006900418,0.001640806,0.3452017,0.0006822739,0.00006315859,0.00001075612,0.002422696,0.001403528,0.00001299925,0.002659319,0.6383483,0.0006540177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071658,0.01074231,0.005435204,0.03263529,0.00243147,0.02872811,0.002712634,0.0006038664,0.009545324],"genre_scores_gemma":[0.9626111,0.00515631,0.004379218,0.006687683,0.0004843281,0.01852207,0.0003028979,0.00008334378,0.001773008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.411514,"threshold_uncertainty_score":0.9998193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534678450772525,"score_gpt":0.5179831794137745,"score_spread":0.364515334336522,"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."}}