{"id":"W4406810029","doi":"10.2196/65022","title":"A User-Centered Design Approach for a Screening App for People With Cognitive Impairment (digiDEM-SCREEN): Development and Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Usability; System usability scale; Computer science; User-centered design; Context (archaeology); Test (biology); Human–computer interaction; Applied psychology; Psychology; Usability engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0008703393,0.000361962,0.0005879019,0.0003216747,0.0005425298,0.0001287202,0.0001313377,0.00008019948,0.00002769833],"category_scores_gemma":[0.0001086598,0.0002727419,0.0001175392,0.0003046679,0.0001210063,0.0001458103,0.000132343,0.0001787795,8.251451e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553318,"about_ca_system_score_gemma":0.0002496898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004332602,"about_ca_topic_score_gemma":0.00008338928,"domain_scores_codex":[0.9975614,0.0001247694,0.0004396818,0.0007680033,0.0004830242,0.0006231088],"domain_scores_gemma":[0.9985961,0.0004031431,0.0001080483,0.0002243608,0.0004310528,0.0002373002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004384417,0.004153305,0.9795146,0.0005902624,0.0009314343,0.000003696661,0.003948598,0.000001783715,0.0001443512,0.00003816358,0.000344856,0.005944526],"study_design_scores_gemma":[0.01525728,0.006156917,0.9575157,0.0002500166,0.0003456824,0.000002599912,0.01667064,0.000255859,0.002837642,0.0000268112,0.0003940093,0.0002868696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7595054,0.00002210741,0.2251833,0.00003474017,0.00001259436,0.01487473,0.00004461418,0.00007926271,0.0002432915],"genre_scores_gemma":[0.9813175,8.306906e-7,0.01101002,0.00009459762,0.00002616891,0.005812719,0.0003608948,0.00003660243,0.001340635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218121,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06293755056442372,"score_gpt":0.3625235905792547,"score_spread":0.2995860400148309,"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."}}