{"id":"W4292489404","doi":"10.1016/j.exger.2022.111918","title":"History of falls alters movement smoothness and time taken to complete a functional mobility task in the oldest-old: A case-control study","year":2022,"lang":"en","type":"article","venue":"Experimental Gerontology","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Smoothness; Trunk; Balance (ability); Confidence interval; Timed Up and Go test; Physical medicine and rehabilitation; Inertial measurement unit; Medicine; Gait; Psychology; Computer science; Mathematics; Internal medicine; Artificial intelligence","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":[0.001137219,0.0009268669,0.0009914162,0.001297608,0.001719399,0.001110484,0.0009072073,0.001393001,0.002671136],"category_scores_gemma":[0.003269907,0.0009985004,0.0009878306,0.001092517,0.001033357,0.0006965499,0.0005143164,0.0009525166,0.0003210363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004785369,"about_ca_system_score_gemma":0.0004833703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221643,"about_ca_topic_score_gemma":0.01130848,"domain_scores_codex":[0.9992722,0.0002208197,0.00008284667,0.0001933529,0.0001137213,0.0001171519],"domain_scores_gemma":[0.998326,0.0005595757,0.0004191193,0.000231806,0.0001700913,0.0002933842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01772922,0.01330231,0.9603196,0.00009106197,0.0007823326,0.001129013,0.001025342,0.0000745357,0.002379723,0.00009440273,0.0002139455,0.002858409],"study_design_scores_gemma":[0.0003683791,0.003346401,0.9946741,0.000008449343,0.0002889049,0.0004481307,0.0003681484,0.0001659475,0.0001489223,0.0000402255,0.0001258506,0.00001659106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999679,0.000105036,0.00003267697,0.000007182142,0.000006710997,0.00001330998,0.00003974805,0.000002258337,0.0001141912],"genre_scores_gemma":[0.9993393,0.00008909548,0.00008452639,0.00001734132,0.00001659034,0.00002149215,0.00007650771,0.000002260008,0.0003528676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01221643,"threshold_uncertainty_score":0.02429062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05751261595270434,"score_gpt":0.3491189659986932,"score_spread":0.2916063500459888,"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."}}