{"id":"W4225993421","doi":"10.1093/ageing/afac095","title":"Mobility screening for fall prediction in the Canadian Longitudinal Study on Aging (CLSA): implications for fall prevention in the decade of healthy ageing","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"McMaster Institute for Research on Aging, McMaster University; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Medicine; Cutoff; Receiver operating characteristic; Fall prevention; Area under the curve; Population; Physical medicine and rehabilitation; Poison control; Physical therapy; Gerontology; Injury prevention; Internal medicine; Emergency medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004145431,0.0001100021,0.0001854344,0.0001821466,0.002035562,0.00002329252,0.0002238077,0.00006428285,0.00000168605],"category_scores_gemma":[0.0001315369,0.00008618319,0.00006842412,0.000321103,0.00002351089,0.0001256193,0.00005149244,0.0005481309,2.893534e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878247,"about_ca_system_score_gemma":0.0001350107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06491064,"about_ca_topic_score_gemma":0.6401412,"domain_scores_codex":[0.9977099,0.0009053841,0.0005248286,0.0003032237,0.0001621389,0.0003945028],"domain_scores_gemma":[0.9986652,0.0007658786,0.0002149118,0.0002635915,0.00004323961,0.00004716399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002284018,0.001344843,0.9192718,0.0004903323,0.0000448854,0.00005481758,0.04550715,0.0001956832,0.0003361349,0.003674497,0.0007233999,0.02812811],"study_design_scores_gemma":[0.001351746,0.000427388,0.9732197,0.0001305875,0.00003012163,0.000001465507,0.02012967,0.000685426,1.495893e-7,0.003081694,0.0008720805,0.00006999048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897919,0.0001307254,0.002958681,0.001949005,0.0001175584,0.004646131,0.0001007133,0.00001614097,0.0002890887],"genre_scores_gemma":[0.9959547,0.00001518736,0.0001721056,0.0006523427,0.0001099658,0.002903086,0.0001232256,0.00001283288,0.00005655902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5752305,"threshold_uncertainty_score":0.9992636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178073395608638,"score_gpt":0.4195740343914447,"score_spread":0.3017666948305808,"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."}}