{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008695903,0.001247923,0.001174798,0.006129665,0.0005690465,0.001575667,0.0009741951,0.0008381659,0.005000597],"category_scores_gemma":[0.03651394,0.0004500365,0.002517648,0.004416481,0.0004186179,0.001296758,0.00186203,0.001094156,0.001177475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208402,"about_ca_system_score_gemma":0.000557104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706654,"about_ca_topic_score_gemma":0.003772416,"domain_scores_codex":[0.9939759,0.002552451,0.001070686,0.001122155,0.00108255,0.0001963048],"domain_scores_gemma":[0.9765177,0.01307684,0.003900001,0.002633462,0.00344141,0.0004306658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001177791,0.0004791977,0.8858745,0.0006174213,0.004022439,0.0001840344,0.0005078067,0.009305171,0.0006021665,0.001547553,0.007814314,0.08786748],"study_design_scores_gemma":[0.0003125436,0.001545017,0.9275941,0.0005907515,0.0007347079,0.00066336,0.0007597852,0.04515148,0.001043892,0.00765038,0.01377124,0.0001828124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024563,0.001895692,0.04709509,0.0001779695,0.0001693541,0.001333463,0.04155697,0.0008929793,0.004422129],"genre_scores_gemma":[0.9107352,0.0005019659,0.04357068,0.0001088635,0.0000433364,0.003187958,0.04047885,0.0001373237,0.001235791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008695903,"threshold_uncertainty_score":0.04598886,"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."}}