{"id":"W2724349325","doi":"10.1093/geroni/igx004.1063","title":"QUANTIFICATION OF FREE-LIVING MOBILITY IN COMMUNITY LIVING OLDER ADULTS USING WEARABLE SENSORS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal; Université de Sherbrooke","funders":"","keywords":"Affect (linguistics); Wearable computer; Gerontology; Geospatial analysis; Global Positioning System; Activities of daily living; Independent living; Logging; Medicine; Geography; Psychology; Computer science; Physical therapy; Telecommunications; Cartography","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":[0.000458269,0.0004368767,0.0003382789,0.001570638,0.0002891156,0.0006677544,0.0003998198,0.0003487078,0.001008926],"category_scores_gemma":[0.001427399,0.0001545873,0.0003973585,0.001231808,0.0001383075,0.000322163,0.0004396118,0.0001754768,0.0002392449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399679,"about_ca_system_score_gemma":0.000300197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03936009,"about_ca_topic_score_gemma":0.09343525,"domain_scores_codex":[0.9997227,0.00006023474,0.00002828514,0.00005371191,0.00009355765,0.00004159395],"domain_scores_gemma":[0.9994143,0.00005674042,0.0001224496,0.00003060397,0.0003043639,0.00007142845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003892399,0.0001713221,0.9542171,0.0001905021,0.0002409351,0.00007094459,0.0006881601,0.0003018582,0.00464027,0.00003833496,0.0004187186,0.03863259],"study_design_scores_gemma":[0.000008522497,0.0002242034,0.9975092,0.00002454186,0.00003673391,0.00008250931,0.000524602,0.0006795849,0.0005251613,0.00003694467,0.000337743,0.00001018454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957018,0.0003878638,0.001089938,0.00002132039,0.000006755896,0.0001175196,0.00145512,0.00002998685,0.001189556],"genre_scores_gemma":[0.994576,0.0003689452,0.002805179,0.00002383754,0.00001073688,0.0001275851,0.001318246,0.000003070086,0.0007664285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03936009,"threshold_uncertainty_score":0.07826203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096225493286923,"score_gpt":0.4279831622477239,"score_spread":0.3183606129190316,"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."}}