{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005318445,0.0005469363,0.0005980517,0.000627729,0.0004817076,0.001361485,0.0003709209,0.000574964,0.003570735],"category_scores_gemma":[0.02323231,0.0002469101,0.001176915,0.0002298269,0.000321151,0.0009841636,0.001021976,0.0004969154,0.0004646453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525217,"about_ca_system_score_gemma":0.0004709635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009362596,"about_ca_topic_score_gemma":0.001155301,"domain_scores_codex":[0.9971559,0.001524877,0.0003529248,0.000234279,0.0005113821,0.0002206114],"domain_scores_gemma":[0.9918778,0.006079511,0.000744677,0.0002583711,0.0007007117,0.0003390072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01450916,0.008906382,0.4751953,0.004861493,0.0008734691,0.0009842721,0.01603074,0.0007488272,0.01116364,0.0003536671,0.007544211,0.4588288],"study_design_scores_gemma":[0.002800897,0.06799249,0.8623568,0.002733016,0.002389517,0.003301767,0.01407358,0.009332457,0.009891515,0.001092419,0.02362408,0.0004114952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938278,0.0004966625,0.001178973,0.0002598303,0.00004189882,0.001146145,0.0003366739,0.00006230445,0.002649822],"genre_scores_gemma":[0.9906614,0.0007008389,0.005377938,0.0003280455,0.00004221201,0.001863779,0.00027559,0.00002198237,0.0007283469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005318445,"threshold_uncertainty_score":0.02812696,"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."}}