{"id":"W3089211657","doi":"10.1002/cncr.33171","title":"Age no bar: A CIBMTR analysis of elderly patients undergoing autologous hematopoietic cell transplantation for multiple myeloma","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Janssen Biotech; National Institute of Allergy and Infectious Diseases; Office of Naval Research; National Heart, Lung, and Blood Institute; Daiichi Sankyo Company; Legend Biotech; Janssen Pharmaceuticals; Sanofi Genzyme; Daiichi Sankyo Europe; Takeda Oncology; Kite Pharma; Adaptive Biotechnologies; Health Resources and Services Administration; CytoSen Therapeutics; Atara Biotherapeutics; Daiichi-Sankyo; Biomedical Advanced Research and Development Authority; Astellas Pharma; Swedish Orphan Biovitrum; GlaxoSmithKline; Kiadis Pharma; Miltenyi Biotec; Omeros Corporation; bluebird bio; Actinium Pharmaceuticals; Seattle Genetics; Takeda Pharmaceuticals North America; Regeneron Pharmaceuticals; Chimerix; Medical College of Wisconsin; Merck Sharp and Dohme; Novartis; Johnson and Johnson; Millennium Challenge Corporation; Celgene; Medac; Jazz Pharmaceuticals; National Marrow Donor Program; National Cancer Institute; Genzyme; Terumo BCT; St. Baldrick's Foundation; Boston Children's Hospital; Merck; Kyowa Hakko Kirin; Sanofi; CSL Behring; Bristol-Myers Squibb; AstraZeneca; AbbVie; Astellas Pharma US; Amgen; Novartis Pharmaceuticals Corporation; Dana-Farber Cancer Institute; Incyte; Pfizer; Be The Match Foundation; HistoGenetics","keywords":"Medicine; Hazard ratio; Multiple myeloma; Internal medicine; Confidence interval; Transplantation; Hematopoietic stem cell transplantation; Melphalan; Proportional hazards model; Surgery; Gastroenterology; Oncology","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":[0.001539994,0.0003009367,0.0005265659,0.001111099,0.0004109289,0.0008775168,0.0004818045,0.0004974731,0.001912671],"category_scores_gemma":[0.003337213,0.0002544454,0.001110395,0.001288789,0.0002216481,0.000646767,0.0008237193,0.000746905,0.0003006986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000408196,"about_ca_system_score_gemma":0.0006347664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370202,"about_ca_topic_score_gemma":0.00393022,"domain_scores_codex":[0.9991354,0.0001908507,0.0001188683,0.0002152822,0.0001544792,0.0001851419],"domain_scores_gemma":[0.9971322,0.0005003369,0.001485349,0.0001479023,0.0002096675,0.0005244517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003047892,0.00001896835,0.9988115,0.000009109344,0.00006917337,0.00004109321,0.00002358293,0.0000317561,0.00005566065,0.00001153215,0.00009154461,0.0005312851],"study_design_scores_gemma":[0.00002384613,0.000228416,0.9983621,0.000007845636,0.0001340499,0.000225347,0.0001948535,0.0003988477,0.00004242787,0.00002648609,0.000350123,0.000005617802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985816,0.0002579413,0.00007046761,0.00003825941,0.00001277828,0.000009999523,0.0007399312,0.000002568798,0.0002864485],"genre_scores_gemma":[0.9988922,0.00007873227,0.00006205953,0.00004990896,0.00002774754,0.00001252054,0.0007800054,0.000002524794,0.00009414522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00370202,"threshold_uncertainty_score":0.008144319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826307758878465,"score_gpt":0.3019835015472888,"score_spread":0.2737204239585042,"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."}}