{"id":"W2988051942","doi":"10.1182/blood-2019-126837","title":"The Global State of Hematopoietic Stem Cell Transplantation for Multiple Myeloma: An Analysis of the Worldwide Network of Blood and Marrow Transplantation (WBMT) Database and the Global Burden of Disease Study","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Multiple myeloma; Transplantation; Disease burden; Internal medicine; Incidence (geometry); Hematopoietic stem cell transplantation; Disease; Oncology","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":[0.003636232,0.0004573308,0.0007923673,0.005850493,0.0003712976,0.001136418,0.0008983574,0.0003615042,0.001363523],"category_scores_gemma":[0.006907037,0.0002921038,0.001048636,0.0155917,0.0002480652,0.001080636,0.001822533,0.0008238071,0.0004978535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451465,"about_ca_system_score_gemma":0.00157242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02852971,"about_ca_topic_score_gemma":0.04178506,"domain_scores_codex":[0.9975657,0.0004655782,0.000668031,0.0004520098,0.0006619113,0.0001866702],"domain_scores_gemma":[0.9935443,0.0006210406,0.003661118,0.0003596068,0.00138232,0.0004316831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355572,0.00002325361,0.9851652,0.000273411,0.0003638229,0.00003580456,0.0002022696,0.0002081656,0.00005693754,0.0001469032,0.008932946,0.004455735],"study_design_scores_gemma":[0.00002085878,0.00002814766,0.993214,0.0001624092,0.0001590952,0.0001442221,0.0004302564,0.0004043917,0.00007952427,0.00007680585,0.005265965,0.00001426493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5952119,0.004875928,0.0006895526,0.0008715939,0.00007463762,0.0002240601,0.3944652,0.00007090013,0.00351619],"genre_scores_gemma":[0.7391152,0.002566204,0.001627963,0.0004201652,0.00007202467,0.0005474279,0.255116,0.00004513387,0.0004899487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02852971,"threshold_uncertainty_score":0.05672729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101220588052447,"score_gpt":0.2663875122871224,"score_spread":0.2562654534818777,"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."}}