{"id":"W2732583485","doi":"10.1093/geroni/igx004.1060","title":"USING TECHNOLOGIES TO IMPROVE HEALTHCARE AND QUALITY OF LIFE IN THE VULNERABLE ELDERLY","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Affect (linguistics); Dementia; Quality of life (healthcare); Health care; Wearable computer; Medicine; Wearable technology; Chronic pain; Psychology; Gerontology; Psychiatry; Computer science; Nursing; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571144,0.0004128986,0.0003077806,0.0008439746,0.0004851234,0.00215747,0.0004536348,0.001154572,0.004397571],"category_scores_gemma":[0.003188464,0.0000957212,0.000406261,0.000648073,0.0006904128,0.001976541,0.001678092,0.0007814287,0.001467756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005016716,"about_ca_system_score_gemma":0.0009865302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472813,"about_ca_topic_score_gemma":0.000998674,"domain_scores_codex":[0.9991645,0.0003367913,0.00005759719,0.00006888315,0.0002619704,0.0001102572],"domain_scores_gemma":[0.999116,0.0003194388,0.0001551264,0.0000747473,0.0001813409,0.0001532943],"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":[0.00008184926,0.0004061553,0.01661693,0.001427197,0.0001283532,0.0004443702,0.003556404,0.0004610997,0.007899561,0.02610201,0.04465314,0.8982229],"study_design_scores_gemma":[0.00008646429,0.001917308,0.05730309,0.003881313,0.0002997598,0.002605803,0.008585129,0.001629417,0.008412757,0.06578084,0.8493802,0.0001179215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2380095,0.1867371,0.1081796,0.1777942,0.008118364,0.0008990431,0.001015544,0.00165951,0.2775872],"genre_scores_gemma":[0.6616719,0.1652271,0.1101096,0.02079228,0.004371386,0.0005282661,0.0005147577,0.00008336395,0.03670133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004397571,"threshold_uncertainty_score":0.01471132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052651140645914,"score_gpt":0.4129666289018386,"score_spread":0.3077015148372471,"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."}}