{"id":"W2943115873","doi":"10.1016/j.clml.2019.04.014","title":"Geriatric Assessment and Frailty Scores Predict Mortality in Myeloma: Systematic Review and Meta-analysis","year":2019,"lang":"en","type":"review","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"American Society of Clinical Oncology; Janssen Biotech; National Cancer Institute; Foundation for the National Institutes of Health","keywords":"Medicine; Meta-analysis; Hazard ratio; Multiple myeloma; Internal medicine; Confidence interval; Incidence (geometry); Adverse effect","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":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004980954,0.001533697,0.02652331,0.0009815211,0.0001390947,0.0001706949,0.0006129316,0.00115926,0.0003686978],"category_scores_gemma":[0.002307482,0.0009633676,0.00579384,0.002171116,0.0004864243,0.0002138049,0.0007182838,0.001084047,0.0001700516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699419,"about_ca_system_score_gemma":0.003436283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000292187,"about_ca_topic_score_gemma":0.00009065809,"domain_scores_codex":[0.98626,0.003165282,0.005645737,0.002444885,0.001426679,0.001057398],"domain_scores_gemma":[0.9898181,0.003844522,0.001992523,0.002881276,0.0002658318,0.001197765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00002935864,0.0003068678,0.00612088,0.6952391,0.1818519,0.000688773,0.000006016248,1.149664e-7,2.320119e-8,0.00003783846,0.0001986593,0.1155205],"study_design_scores_gemma":[0.001823089,0.0003466742,0.2181212,0.03442813,0.7391127,0.0002360831,0.000005059183,0.00009136782,5.172165e-8,0.00002142674,0.005199255,0.000614979],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001315631,0.9862022,0.00001314902,0.000105624,0.000107397,0.01104826,0.0005150865,0.0000989937,0.0005936344],"genre_scores_gemma":[0.001932554,0.992677,0.0005109343,0.0004576906,0.00012943,0.002081094,0.000824141,0.0001369686,0.001250171],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.660811,"threshold_uncertainty_score":0.9997411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2212138162500832,"score_gpt":0.4785600637822102,"score_spread":0.257346247532127,"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."}}