{"id":"W2884230034","doi":"10.1200/cci.18.00043","title":"Development of a Medicare Health Outcomes Survey Deficit-Accumulation Frailty Index and Its Application to Older Patients With Newly Diagnosed Multiple Myeloma","year":2018,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Frailty in Older Adults","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Center for Research Resources; National Cancer Institute; National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; National Institutes of Health","keywords":"Frailty Index; Gerontology; Medicine; Multiple myeloma; Index (typography); Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008565048,0.0002173944,0.0006442934,0.0001138992,0.000106031,0.00001500944,0.0001433602,0.0001765827,0.00004013929],"category_scores_gemma":[0.002217795,0.0001627553,0.0000441914,0.0003442361,0.0001116787,0.0001846554,0.0001116991,0.0002255696,0.00002646918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656683,"about_ca_system_score_gemma":0.0007358937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003404615,"about_ca_topic_score_gemma":0.006146584,"domain_scores_codex":[0.9969193,0.00006332194,0.001760809,0.0002155975,0.0007381451,0.0003028369],"domain_scores_gemma":[0.9968528,0.0006774408,0.0007068741,0.0003678052,0.0008985327,0.0004965405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003589418,0.0001645897,0.8215916,0.0002302007,0.00005829736,1.235252e-7,0.004725275,0.00002713853,6.605102e-7,0.000003277849,0.0005093302,0.1723306],"study_design_scores_gemma":[0.006452013,0.0005370138,0.9838124,0.0003836258,0.00002587399,4.143149e-7,0.0002762395,0.005217791,0.00004595527,0.00000155826,0.003068531,0.0001786111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837046,0.00003250379,0.01341675,0.0005885797,0.0001857353,0.001847082,0.0001209156,0.00005106094,0.00005275112],"genre_scores_gemma":[0.9781393,0.00002676242,0.01757851,0.003700038,0.00007267633,0.0001352953,0.0002971264,0.00002423305,0.00002606199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172152,"threshold_uncertainty_score":0.6636968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09700198086141769,"score_gpt":0.4176223033124601,"score_spread":0.3206203224510424,"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."}}