{"id":"W4321764716","doi":"10.1182/bloodadvances.2022009138","title":"Impact of second primary malignancy post–autologous transplantation on outcomes of multiple myeloma: a CIBMTR analysis","year":2023,"lang":"en","type":"article","venue":"Blood Advances","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Cancer Moonshot; National Institute of Allergy and Infectious Diseases; Office of Naval Research; Legend Biotech; Pharmacyclics; Takeda Oncology; U.S. Navy; Health Resources and Services Administration; National Institutes of Health; MorphoSys; Astellas Pharma; Adaptive Biotechnologies; Pfizer; Incyte; Kiadis Pharma; bluebird bio; TG Therapeutics; Medac; Jazz Pharmaceuticals; Swedish Orphan Biovitrum; Omeros Corporation; Vertex Pharmaceuticals; StemCyte; National Center for Advancing Translational Sciences; HistoGenetics; U.S. Department of Defense; Moonshot Research and Development Program; Sanofi; GlaxoSmithKline; Actinium Pharmaceuticals; CareDx; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; CSL Behring; Bristol-Myers Squibb; AstraZeneca; Amgen; Mallinckrodt Pharmaceuticals; Astellas Pharma US; Atara Biotherapeutics; National Cancer Institute; Gilead Sciences","keywords":"Multiple myeloma; Medicine; Malignancy; Transplantation; Oncology; Bone transplantation; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000104977,0.0001767885,0.0006728983,0.0005983966,0.00004010621,0.000004460747,0.000090813,0.00005979075,0.000157893],"category_scores_gemma":[0.0001321997,0.0001219212,0.0004443497,0.0008970322,0.00007357814,0.0001139174,0.00001567165,0.00008234362,0.00002003447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030189,"about_ca_system_score_gemma":0.00009796939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424727,"about_ca_topic_score_gemma":0.0002292706,"domain_scores_codex":[0.9986228,0.00005337128,0.0003661319,0.0002689991,0.0003954184,0.000293244],"domain_scores_gemma":[0.9989086,0.0003801631,0.0001691025,0.0002892699,0.0001339253,0.000118878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000948178,0.0007306786,0.9545286,0.0004306227,0.003415285,0.0002712258,0.0002199027,0.0001358955,0.02775559,0.000009758714,0.000009815645,0.01154447],"study_design_scores_gemma":[0.004416711,0.00142801,0.9696146,0.0000726921,0.001021665,0.00001156626,0.00004394111,0.00007519335,0.02318925,0.00002804845,0.000007709424,0.00009056256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997348,0.0006481532,0.00001557715,0.00006010881,0.00002789038,0.0003998401,0.0006949395,0.00005884533,0.0007466724],"genre_scores_gemma":[0.9977611,0.0005473298,0.0005675874,0.00002363905,0.0000136786,0.00003376931,0.00062757,0.00001553708,0.0004097992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508608,"threshold_uncertainty_score":0.4971803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742792174734513,"score_gpt":0.3275683512550087,"score_spread":0.3101404295076635,"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."}}