{"id":"W4281952217","doi":"10.1177/08404704221106156","title":"Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta; University of Waterloo","funders":"AGE-WELL","keywords":"Missing data; Dementia; Assisted living; Data collection; Population; Medicine; Gerontology; Computer science; Environmental health; Disease; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.1128899,0.0009687034,0.001943108,0.009064673,0.004680471,0.01138403,0.006270336,0.003194013,0.004754459],"category_scores_gemma":[0.2664951,0.001243191,0.00156523,0.009760357,0.003004221,0.02019359,0.01551969,0.005544038,0.002143947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003945731,"about_ca_system_score_gemma":0.01836874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120244,"about_ca_topic_score_gemma":0.01576977,"domain_scores_codex":[0.9244813,0.04083708,0.01227904,0.005598803,0.01444293,0.002360889],"domain_scores_gemma":[0.6407877,0.173457,0.05875797,0.06034829,0.05405604,0.01259297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007143855,0.0006827185,0.2506478,0.004402318,0.0004810089,0.00060466,0.01660489,0.003568618,0.001308237,0.04242373,0.1187114,0.5598503],"study_design_scores_gemma":[0.0002512269,0.001123604,0.1453974,0.02439973,0.0007150437,0.002015552,0.06863341,0.03750202,0.005730582,0.1566033,0.5571027,0.0005254076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1996685,0.01606369,0.2827758,0.410985,0.004658382,0.003140585,0.02856692,0.004634624,0.04950663],"genre_scores_gemma":[0.5532787,0.01341203,0.3511236,0.04562099,0.002919477,0.002494662,0.02476464,0.0006269829,0.005758921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1128899,"threshold_uncertainty_score":0.5970259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0764290062895444,"score_gpt":0.3695438305377131,"score_spread":0.2931148242481687,"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."}}