{"id":"W2726340833","doi":"10.1093/geroni/igx004.4137","title":"FRAILTY TRANSITIONS IN COMMUNITY DWELLING OLDER PEOPLE","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gerontology; Medicine; Proportional hazards model; Logistic regression; Older people","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001012037,0.0001558343,0.00024217,0.0009944419,0.0004971109,0.0006461894,0.0002691985,0.0003032291,0.0008085959],"category_scores_gemma":[0.004052604,0.000102973,0.0003618078,0.0008716629,0.0003939151,0.0006576627,0.001065753,0.0005780986,0.00007742646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006549744,"about_ca_system_score_gemma":0.0006708286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139676,"about_ca_topic_score_gemma":0.01273559,"domain_scores_codex":[0.9995961,0.0001032953,0.00004728056,0.00005973518,0.00009425468,0.00009939872],"domain_scores_gemma":[0.9981574,0.0002412616,0.001070215,0.00004834374,0.0001721317,0.000310566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132801,0.00008607609,0.9836202,0.00008035878,0.0000659231,0.0001626959,0.001433924,0.0001299915,0.0001113313,0.0001220999,0.0003577953,0.01371638],"study_design_scores_gemma":[0.000003064266,0.00007758955,0.998385,0.00004134255,0.0000151606,0.0001844989,0.0005745653,0.0001251095,0.00002487509,0.0002284397,0.0003360962,0.000004295845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972432,0.001565898,0.0001127224,0.0003211989,0.00001053669,0.00001291738,0.0001974754,0.000004995391,0.0005310492],"genre_scores_gemma":[0.9992631,0.0004273772,0.00006638528,0.00004248078,0.000009393676,0.000008847539,0.0001095294,6.084597e-7,0.00007220631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01139676,"threshold_uncertainty_score":0.02266085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726273156124981,"score_gpt":0.3465680486679689,"score_spread":0.289305317106719,"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."}}