{"id":"W4210556748","doi":"10.1002/alz.054743","title":"Not just cognitive impairment: Using motion‐based technology to examine mobility, balance, and cognition in dementia and MCI","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dementia; Montreal Cognitive Assessment; Balance (ability); Cognition; Gerontology; Cognitive impairment; Psychology; Population; Intervention (counseling); Physical medicine and rehabilitation; Confidence interval; Physical therapy; Medicine; Psychiatry; Disease; Internal medicine","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":[0.0009980962,0.000372962,0.0004218535,0.001215485,0.0004982717,0.0006781885,0.0002634133,0.000536864,0.0007585366],"category_scores_gemma":[0.001671302,0.0001873489,0.0005003869,0.0005654136,0.0002197563,0.0005991451,0.0005146376,0.0004404767,0.0001562835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154466,"about_ca_system_score_gemma":0.0005382372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00493029,"about_ca_topic_score_gemma":0.01334705,"domain_scores_codex":[0.9996876,0.0001115236,0.00003916453,0.00003537552,0.0000723397,0.00005403977],"domain_scores_gemma":[0.9996893,0.00005083204,0.00009353027,0.000008209909,0.00007663421,0.00008146178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006561059,0.001965698,0.9591649,0.0002408364,0.0002040284,0.0002218394,0.001534905,0.0001049221,0.00113982,0.00004304131,0.0003351465,0.03438869],"study_design_scores_gemma":[0.00005399075,0.002065364,0.9950708,0.00008287749,0.00007535546,0.0002524168,0.001401291,0.0002768374,0.000280992,0.00008905442,0.0003351309,0.00001593488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987032,0.0004364727,0.00007599036,0.00004053036,0.000006883293,0.00008077769,0.00005244253,0.000001912649,0.000601667],"genre_scores_gemma":[0.9983504,0.0003509052,0.0006211718,0.00006142954,0.00001208706,0.000222248,0.00008407464,4.428365e-7,0.0002971444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00493029,"threshold_uncertainty_score":0.009803176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403707727128295,"score_gpt":0.3398426413518464,"score_spread":0.2994718686390169,"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."}}