{"id":"W2988499582","doi":"10.1093/geroni/igz038.1698","title":"ACCURACY AND USABILITY OF A MOBILE ALERT SYSTEM FOR COMMUNITY CITIZENS TO LOCATE PERSONS WITH DEMENTIA WHO GET LOST","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Usability; Readability; Dementia; Mobile apps; Computer science; Psychology; World Wide Web; Internet privacy; Applied psychology; Medicine; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146866,0.00008199589,0.0002058531,0.0002871123,0.00006211474,0.00002168031,0.00006148923,0.00002564298,0.00006381406],"category_scores_gemma":[0.000123471,0.00007078311,0.00001533836,0.0007163921,0.00005310681,0.0001000747,0.0000622949,0.0001550734,0.000007366464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007385884,"about_ca_system_score_gemma":0.00007695959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161545,"about_ca_topic_score_gemma":0.00002689316,"domain_scores_codex":[0.9990849,0.00007380664,0.0003126053,0.0001486601,0.0001982164,0.0001818407],"domain_scores_gemma":[0.9989938,0.0001871105,0.00009528939,0.0002073363,0.0004818146,0.00003468612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002289745,0.0001261848,0.9733416,0.001391273,0.00006237445,0.000001370462,0.001776574,0.00001169859,0.01552737,0.0003253967,0.00008529276,0.007121865],"study_design_scores_gemma":[0.004430554,0.001242861,0.9428458,0.001633955,0.00006198888,0.00001631959,0.01751862,0.001226006,0.02987978,0.00005653159,0.0009236035,0.0001639466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921193,0.00002257465,0.003493125,0.000355782,0.00002500869,0.001755418,0.00001356859,0.00001544734,0.00219976],"genre_scores_gemma":[0.9988236,0.000001680809,0.0005540641,0.0002118574,0.00001208166,0.0001556967,0.00003502134,0.00001012008,0.0001958973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03049579,"threshold_uncertainty_score":0.2886451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340899335434444,"score_gpt":0.3341560110612523,"score_spread":0.3000660775178078,"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."}}