{"id":"W4400697477","doi":"10.2196/52582","title":"Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review","year":2024,"lang":"en","type":"review","venue":"JMIR Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UK Dementia Research Institute; National Institute for Health and Care Research; NIHR Imperial Biomedical Research Centre; Imperial Health Charity","keywords":"CINAHL; Dementia; Physical medicine and rehabilitation; Motion capture; MEDLINE; Gait; Gold standard (test); Functional movement; Scopus; Cognition; Medicine; Computer science; Motion (physics); Disease; Artificial intelligence; Pathology; Psychological intervention; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0098814,0.001807347,0.007769688,0.009100767,0.0005991103,0.003120587,0.002304255,0.002540233,0.003773833],"category_scores_gemma":[0.05895609,0.001026397,0.0084426,0.008579087,0.001075161,0.002590677,0.001410747,0.001183966,0.0003586658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003622431,"about_ca_system_score_gemma":0.01005927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034179,"about_ca_topic_score_gemma":0.02608783,"domain_scores_codex":[0.9916536,0.002941339,0.002894491,0.0006912285,0.001614265,0.0002051298],"domain_scores_gemma":[0.9571161,0.03314605,0.006085349,0.0006307968,0.002825567,0.0001960218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001610831,0.00001812456,0.0007615227,0.9526547,0.006710943,0.00003980134,0.0001310483,0.0001120884,0.0000769334,0.0001902786,0.0009718795,0.03817152],"study_design_scores_gemma":[0.0001623224,0.0002224161,0.00408426,0.9378211,0.04693891,0.0002277524,0.0001796785,0.0001314914,0.0001416609,0.0002409482,0.009808176,0.00004121993],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005455861,0.9987167,0.0001257099,0.00009732543,0.00005041051,0.0001561844,0.0001750288,0.000005282182,0.0001277265],"genre_scores_gemma":[0.01489253,0.9828358,0.0008238565,0.0003921356,0.00007700561,0.0006636526,0.0002170961,0.000006161503,0.00009168464],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01034179,"threshold_uncertainty_score":0.05225843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07697781450789407,"score_gpt":0.4144348341131267,"score_spread":0.3374570196052327,"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."}}