{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0145584,0.000788498,0.001052482,0.002943291,0.002313167,0.001969238,0.002330649,0.00123546,0.001203054],"category_scores_gemma":[0.04253547,0.0002966843,0.001045707,0.003191203,0.001019016,0.001009391,0.001125651,0.001741575,0.0001931395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01508722,"about_ca_system_score_gemma":0.04413466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9355405,"about_ca_topic_score_gemma":0.9482499,"domain_scores_codex":[0.9943938,0.001339451,0.0003870578,0.0004522711,0.002773814,0.0006535286],"domain_scores_gemma":[0.9763675,0.004473257,0.002766324,0.0004071481,0.0132604,0.002725335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756502,0.00008944952,0.9367369,0.0003769038,0.0002128944,0.00005286867,0.0003216483,0.0005529427,0.0001000941,0.0005079429,0.01490218,0.04597059],"study_design_scores_gemma":[0.00003876453,0.0001262535,0.989976,0.0008554251,0.0002236641,0.00008246542,0.000527938,0.003858278,0.00008462916,0.0004739555,0.003707492,0.00004498853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7500767,0.1019713,0.008223097,0.09486181,0.00231327,0.001062827,0.01678326,0.000524941,0.02418287],"genre_scores_gemma":[0.9678741,0.01261385,0.01232213,0.002652812,0.0003567633,0.0002855996,0.003281554,0.00003206268,0.0005811268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0644595,"threshold_uncertainty_score":0.1296782,"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."}}