{"id":"W4399171778","doi":"10.2196/56653","title":"Smartphone App Designed to Collect Health Information in Older Adults: Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Usability; Smartphone app; Mobile apps; Computer science; Human–computer interaction; Internet privacy; Psychology; World Wide Web","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":[0.007045697,0.00043685,0.000552732,0.0009894586,0.0004867915,0.000726868,0.0003142087,0.0005263426,0.0008088925],"category_scores_gemma":[0.01611711,0.0002431176,0.0007422546,0.0004546987,0.0003013515,0.0007139072,0.0007102868,0.000371611,0.0002495119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731338,"about_ca_system_score_gemma":0.0006541365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145921,"about_ca_topic_score_gemma":0.002292421,"domain_scores_codex":[0.9970828,0.001310322,0.0004793956,0.0002245144,0.000712577,0.0001904495],"domain_scores_gemma":[0.9894493,0.005708589,0.0008474154,0.000454048,0.003133336,0.0004073209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003148565,0.009201849,0.7011235,0.003982848,0.0007112729,0.001366701,0.03261144,0.0004940809,0.01761389,0.0002004901,0.002585771,0.2269595],"study_design_scores_gemma":[0.0005813426,0.04660862,0.9168663,0.0008724814,0.001048145,0.003051917,0.01188445,0.002786748,0.007660134,0.0001468645,0.008351856,0.0001411644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970717,0.0002952299,0.001031126,0.00004564748,0.00001934003,0.0008794172,0.0001301671,0.00002436272,0.0005029277],"genre_scores_gemma":[0.989655,0.0005209475,0.007361725,0.0001688877,0.00004064852,0.001373273,0.000354926,0.00001514128,0.0005093007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007045697,"threshold_uncertainty_score":0.03726166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006802648561605,"score_gpt":0.4347927765688367,"score_spread":0.3947247500832207,"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."}}