{"id":"W4320913111","doi":"10.36227/techrxiv.16943395.v2","title":"Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dementia; Physical medicine and rehabilitation; Gait; Term (time); Risk assessment; Psychology; Medicine; Computer science; Computer security","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":[0.0006275375,0.0004015675,0.0004686845,0.0008317636,0.0001528995,0.0006562821,0.0002561578,0.0004791727,0.0008387144],"category_scores_gemma":[0.004037907,0.0001616084,0.000329046,0.000746794,0.0001126994,0.0003795448,0.0003478374,0.0003177111,0.0003669845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452016,"about_ca_system_score_gemma":0.0002113241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006586058,"about_ca_topic_score_gemma":0.009054969,"domain_scores_codex":[0.9996481,0.0001209474,0.00003035342,0.00007469002,0.00009165152,0.00003423637],"domain_scores_gemma":[0.9993353,0.0002909276,0.0000881911,0.00005635802,0.0001735464,0.00005558193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003246656,0.001607217,0.5644542,0.0004248054,0.0005509431,0.0005426074,0.0007745505,0.02335633,0.01869494,0.0004712526,0.006026416,0.37985],"study_design_scores_gemma":[0.00006350427,0.0005451022,0.7858704,0.00006834242,0.0001803613,0.000515159,0.0005342828,0.2070102,0.002953365,0.001204223,0.001018946,0.00003607573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835204,0.0003685606,0.01282402,0.0001356167,0.00006546586,0.00003147672,0.001794399,0.0001987421,0.001061256],"genre_scores_gemma":[0.9909568,0.0002127326,0.006587058,0.00003044374,0.00006860635,0.00003613805,0.001384998,0.0000186608,0.0007045176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006586058,"threshold_uncertainty_score":0.01309544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065004897603004,"score_gpt":0.3739739370102163,"score_spread":0.3233238880341862,"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."}}