{"id":"W4226200811","doi":"10.1002/dad2.12305","title":"Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Dementia; Wearable computer; Aggression; Personalization; Wearable technology; Distress; Impulsivity; Psychology; Medicine; Physical medicine and rehabilitation; Clinical psychology; Artificial intelligence; Machine learning; Psychiatry; Computer science; Disease; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007489906,0.0002725386,0.0004108929,0.0002028725,0.000722455,0.00005199959,0.0001777335,0.00004600108,0.0002572357],"category_scores_gemma":[0.00002787535,0.0002335849,0.0003064059,0.0002854401,0.0001767607,0.0002108004,0.0003125856,0.0003493053,3.664096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005951905,"about_ca_system_score_gemma":0.00008587082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440175,"about_ca_topic_score_gemma":0.00000194009,"domain_scores_codex":[0.9971627,0.0003041945,0.0005459939,0.000518954,0.0009927044,0.0004754443],"domain_scores_gemma":[0.9986393,0.0003233237,0.0003085342,0.0002715187,0.000231945,0.0002254216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007803825,0.002252383,0.941144,0.00008429836,0.004757844,0.00001536883,0.0002076929,0.002966003,0.01746158,0.0000369252,0.000005614219,0.03028786],"study_design_scores_gemma":[0.007559119,0.003505451,0.740573,0.0002180069,0.03565208,0.00001357754,0.002908274,0.1837995,0.02484631,0.0001197668,0.0003249633,0.0004799792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608087,0.03338199,0.003641659,0.0000964631,0.0002772814,0.001660705,0.00007752093,0.00003710439,0.00001858433],"genre_scores_gemma":[0.9957047,0.000807992,0.001688026,0.00001972528,0.0000896945,0.001591965,0.00004168099,0.00004652464,0.000009741515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.200571,"threshold_uncertainty_score":0.9525314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09141741133870399,"score_gpt":0.3918140471839896,"score_spread":0.3003966358452856,"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."}}