{"id":"W2616483939","doi":"10.1093/ageing/afx060.146","title":"146Prevalence And Determinants Of Frailty And Associated Co-Morbidities Among Older People In Nepal","year":2017,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gerontology; Older people; Polypharmacy; Environmental health; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005662247,0.0001521846,0.0002486885,0.0007384226,0.0007068989,0.0007161406,0.000251919,0.000286241,0.001637304],"category_scores_gemma":[0.001428409,0.0002888647,0.0003241168,0.0006590079,0.0002891349,0.0004732745,0.0006670557,0.0004207127,0.0001852095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302125,"about_ca_system_score_gemma":0.0007085341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425658,"about_ca_topic_score_gemma":0.0309993,"domain_scores_codex":[0.9997273,0.00007558955,0.0000433505,0.00004624082,0.00004878353,0.00005866688],"domain_scores_gemma":[0.9995796,0.0001047974,0.0001500349,0.00002458022,0.00008163372,0.00005936471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001105573,0.00003728359,0.99723,0.00003620562,0.00001710115,0.000158892,0.0006159207,0.00001236486,0.0000641458,0.00002615656,0.0000983696,0.001692636],"study_design_scores_gemma":[0.000001821858,0.0000498955,0.9975824,0.00005876453,0.00001676412,0.0004558979,0.001336976,0.0001117002,0.00002167656,0.00004287357,0.0003166838,0.0000043337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998174,0.0004112905,0.00004978497,0.0001066968,0.000004998933,0.00001376929,0.0002052922,0.000001822014,0.001032388],"genre_scores_gemma":[0.9991863,0.0002809882,0.00007604416,0.00005152304,0.000005009671,0.00002310969,0.0001574311,5.053811e-7,0.0002190639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01425658,"threshold_uncertainty_score":0.02834719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905884464185484,"score_gpt":0.3121128077410137,"score_spread":0.2830539630991589,"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."}}