{"id":"W4291964175","doi":"10.2196/36872","title":"App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Berg Balance Scale; Timed Up and Go test; Tinetti test; Fall prevention; Falling (accident); Medicine; Gerontology; Descriptive statistics; mHealth; Balance (ability); Psychology; Poison control; Physical therapy; Injury prevention; Statistics; Medical emergency; Environmental health; Mathematics; Psychiatry; Psychological intervention","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":[0.003821422,0.0007404664,0.0006688157,0.001624091,0.0005298801,0.0009487609,0.0004256506,0.0005341272,0.001806637],"category_scores_gemma":[0.01193682,0.0003288892,0.001012111,0.0006439703,0.0004131064,0.001036408,0.001117742,0.0004753488,0.0005698731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148778,"about_ca_system_score_gemma":0.0007802396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109423,"about_ca_topic_score_gemma":0.002828208,"domain_scores_codex":[0.9978065,0.0009066793,0.0002466158,0.0002822133,0.0005668353,0.0001912751],"domain_scores_gemma":[0.9926758,0.003089082,0.001143803,0.0003311126,0.002305571,0.000454612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008221284,0.02195688,0.8015918,0.003052178,0.001028591,0.001269042,0.03099807,0.0006739169,0.004257087,0.0002882725,0.001632354,0.1250306],"study_design_scores_gemma":[0.0006121439,0.03579549,0.9408981,0.0005432291,0.0007901065,0.001168922,0.0121294,0.003053786,0.001970477,0.0002088339,0.002706423,0.0001230998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978771,0.0001235677,0.0003581115,0.0000136603,0.000003508091,0.0009171642,0.0002182411,0.0000135685,0.0004751395],"genre_scores_gemma":[0.9936309,0.0002567525,0.002689371,0.00005121704,0.00001505721,0.002248568,0.0004186127,0.000008744655,0.0006806747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003821422,"threshold_uncertainty_score":0.02020985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07236338988380607,"score_gpt":0.4398184780400949,"score_spread":0.3674550881562888,"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."}}