{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003058898,0.0003788509,0.0003159606,0.000837524,0.0007757745,0.001146887,0.0005298735,0.0004621152,0.00164004],"category_scores_gemma":[0.01308695,0.000187415,0.0005055703,0.00034833,0.0002836815,0.0004679695,0.000805151,0.0002884871,0.0004502475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699156,"about_ca_system_score_gemma":0.001294021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03378564,"about_ca_topic_score_gemma":0.05346929,"domain_scores_codex":[0.9986762,0.0005611609,0.0001546082,0.0001186156,0.0003955872,0.00009370301],"domain_scores_gemma":[0.9929214,0.003113933,0.0004673048,0.0002865478,0.00286614,0.0003446709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003220307,0.001470693,0.4557141,0.002050631,0.0001890603,0.001856785,0.05189133,0.0009990929,0.02329813,0.0001346671,0.007539345,0.4516359],"study_design_scores_gemma":[0.0003038698,0.008009779,0.8667901,0.001574462,0.0005880202,0.002232736,0.07672412,0.01192347,0.01324155,0.0002223628,0.01811809,0.000271423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963613,0.0001349134,0.001369615,0.0001069298,0.00002171777,0.0002433717,0.0001658343,0.0002321705,0.001364123],"genre_scores_gemma":[0.9930882,0.0001627469,0.005489853,0.00007492619,0.000008463761,0.0001410873,0.000181188,0.00001817974,0.0008354994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03378564,"threshold_uncertainty_score":0.06717795,"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."}}