{"id":"W4387408937","doi":"10.1016/j.dib.2023.109653","title":"Fall risk assessment dataset: older-adult participants undergoing the time up and go test","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Thailand Science Research and Innovation; King Mongkut's University of Technology Thonburi","keywords":"Inertial measurement unit; Test (biology); Computer science; Accelerometer; Timed Up and Go test; SIGNAL (programming language); Physical medicine and rehabilitation; Fall prevention; Acceleration; Risk assessment; Artificial intelligence; Medicine; Simulation; Poison control; Injury prevention; Computer security; Medical emergency; Balance (ability)","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":[0.000735082,0.001253783,0.001211966,0.001352683,0.0005474456,0.0006648201,0.001751582,0.001788721,0.007304209],"category_scores_gemma":[0.003878632,0.0001949181,0.0009277849,0.001318469,0.0002050699,0.0004155916,0.001255792,0.0009305935,0.009451264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006094694,"about_ca_system_score_gemma":0.001234576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885328,"about_ca_topic_score_gemma":0.03347052,"domain_scores_codex":[0.9992895,0.0001033369,0.0001299481,0.000180054,0.0002123986,0.00008470423],"domain_scores_gemma":[0.9986367,0.0002555437,0.0001544281,0.0002286887,0.0005677508,0.0001570086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001425486,0.0009241533,0.06785222,0.002022889,0.0003358836,0.0005800328,0.0001968235,0.002312594,0.001824745,0.00060863,0.8632848,0.05863157],"study_design_scores_gemma":[0.001409336,0.001124158,0.3473574,0.001228692,0.000452687,0.001602706,0.0008236335,0.0130554,0.004188015,0.002512248,0.6259648,0.0002809888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01531756,0.0002819879,0.0009292285,0.0002079849,0.00009429346,0.0002445749,0.9810451,0.0006240809,0.001255074],"genre_scores_gemma":[0.0112455,0.0001023412,0.001438328,0.00009212333,0.0000238672,0.0005539067,0.9856651,0.00002289423,0.0008559967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01885328,"threshold_uncertainty_score":0.03748709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07457654631329515,"score_gpt":0.4158205293027245,"score_spread":0.3412439829894294,"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."}}