{"id":"W4312003324","doi":"10.1093/geroni/igac059.2995","title":"A CROSSWALK OF COMMONLY USED FRAILTY SCALES","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frailty Index; Percentile; Gerontology; Schema crosswalk; Medicine; Psychology; Statistics; Mathematics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045355,0.00007332174,0.0001800061,0.0004733853,0.00007359921,0.000008628233,0.00009738741,0.00002578876,0.0002672899],"category_scores_gemma":[0.0001933137,0.00008193391,0.00002357072,0.001901728,0.00006036321,0.00007339182,0.00009751203,0.0002920631,0.00000485141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349728,"about_ca_system_score_gemma":0.00007520353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001477205,"about_ca_topic_score_gemma":0.00003274928,"domain_scores_codex":[0.9988288,0.00003870006,0.0005015659,0.0001457779,0.0003438586,0.0001412474],"domain_scores_gemma":[0.9993801,0.00007842812,0.0001590822,0.0002300198,0.0001371224,0.00001532013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008557271,0.0002863453,0.8804225,0.0001627455,0.0000278048,0.00004484914,0.004354263,0.0004922051,0.08493835,0.007975603,0.003534182,0.01767554],"study_design_scores_gemma":[0.00474326,0.0002029796,0.9429773,0.0002544416,0.00001313553,0.00008705571,0.002198186,0.002099545,0.02287141,0.002449345,0.02186952,0.0002338288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919311,0.00004385622,0.0004135272,0.004708986,0.0001805941,0.0002111762,0.00001425881,0.00005147473,0.00244507],"genre_scores_gemma":[0.9974013,7.360253e-7,0.0009902492,0.0008801284,0.00003781667,0.00003876915,0.00006995288,0.00001468337,0.0005663881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06255475,"threshold_uncertainty_score":0.3341168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822922683514223,"score_gpt":0.3332453474830516,"score_spread":0.2850161206479094,"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."}}