{"id":"W2726555436","doi":"10.1093/geroni/igx004.078","title":"SMARTPHONE ACCELEROMETRY FOR GAIT VARIABILITY ASSESSMENT AND REHABILITATION IN OLDER ADULTS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Gait; Physical medicine and rehabilitation; STRIDE; Rehabilitation; Accelerometer; Gait analysis; Session (web analytics); Physical therapy; Medicine; Computer science","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":[0.001175159,0.0007059742,0.0006763961,0.001204401,0.0001819354,0.0004545687,0.0001895713,0.0009548191,0.007551539],"category_scores_gemma":[0.002037997,0.0002117763,0.0005908835,0.0004650683,0.000080821,0.0003905951,0.0005977836,0.0004339996,0.002914665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494395,"about_ca_system_score_gemma":0.0003392897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006366091,"about_ca_topic_score_gemma":0.002340769,"domain_scores_codex":[0.9996131,0.0001377263,0.00003419647,0.0000386934,0.0001448535,0.00003139949],"domain_scores_gemma":[0.9995649,0.0001815686,0.00005475627,0.00001951397,0.0001403478,0.00003878131],"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":[0.0004704747,0.0003230138,0.01379993,0.001722731,0.0001423504,0.000286904,0.000457323,0.0002599524,0.02593371,0.000303053,0.05015887,0.9061416],"study_design_scores_gemma":[0.00082641,0.009449994,0.5721497,0.008748406,0.0007742822,0.00889209,0.002221417,0.01167384,0.02056819,0.003406023,0.3609829,0.0003066867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3929291,0.2466392,0.1793142,0.02093434,0.006586752,0.008002715,0.0122225,0.006578316,0.1267928],"genre_scores_gemma":[0.5424805,0.19563,0.19151,0.005426744,0.005115531,0.007635407,0.00451336,0.0003207236,0.0473677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007551539,"threshold_uncertainty_score":0.02526248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523258842225021,"score_gpt":0.417883749289471,"score_spread":0.3826511608672208,"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."}}