{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01199382,0.0001666217,0.0004053025,0.0002674407,0.001994962,0.00001204271,0.0002639381,0.00006843099,0.000134888],"category_scores_gemma":[0.00008518207,0.000139037,0.0001922983,0.001287222,0.00003237578,0.0001301317,0.0001847568,0.0009064915,0.000007040733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005373716,"about_ca_system_score_gemma":0.0007544183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568557,"about_ca_topic_score_gemma":0.003848818,"domain_scores_codex":[0.9901137,0.007194319,0.000790739,0.000443591,0.001069718,0.0003879742],"domain_scores_gemma":[0.9975798,0.0003733648,0.0008668237,0.0007520858,0.0003557688,0.00007218605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005574377,0.001850363,0.9417744,0.0002121963,0.0002527183,4.861137e-7,0.04461784,0.009102431,0.0001655732,0.00001228068,0.0001520287,0.00180393],"study_design_scores_gemma":[0.001606658,0.00005730916,0.7720423,0.00003763849,0.0009181595,9.402994e-8,0.06323075,0.1618277,8.13257e-7,0.0001303534,0.00004244082,0.0001058046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907351,0.0003015785,0.004474367,0.0001196363,0.0003769607,0.003724629,0.00003590082,0.00009667539,0.0001352225],"genre_scores_gemma":[0.9974152,0.000006786196,0.00009486322,0.0002540132,0.0001259577,0.001979931,0.00006023808,0.00002382601,0.00003914444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1697322,"threshold_uncertainty_score":0.9993043,"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."}}