{"id":"W3169873720","doi":"10.1016/j.jtct.2021.05.027","title":"The 2020 BMT CTN Myeloma Intergroup Workshop on Immune Profiling and Minimal Residual Disease Testing in Multiple Myeloma","year":2021,"lang":"en","type":"review","venue":"Transplantation and Cellular Therapy","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research; University of Calgary","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Multiple myeloma; Minimal residual disease; Medicine; Hematology; Oncology; Immunology; Flow cytometry; Immune system; Internal medicine; Computational biology; Bone marrow; Biology","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"],"consensus_categories":[],"category_scores_codex":[0.0003761681,0.0004552523,0.0009089863,0.0001581682,0.0002732333,0.0001256569,0.0001191248,0.0001770786,0.00002127374],"category_scores_gemma":[0.0001298596,0.0002952123,0.0001850805,0.0003287233,0.0001380441,0.00006393506,0.00002238385,0.0005540664,0.00000877682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005981217,"about_ca_system_score_gemma":0.0002237294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002456317,"about_ca_topic_score_gemma":0.00003075548,"domain_scores_codex":[0.997574,0.0004146452,0.0006218051,0.0005934119,0.0003714128,0.0004247377],"domain_scores_gemma":[0.9979114,0.001277494,0.0001520449,0.0003186507,0.00005903228,0.000281373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00162559,0.0001854102,0.001652502,0.004010567,0.0002813681,0.001970851,0.0003098543,5.576791e-7,0.0002858194,0.00003763664,0.000007019947,0.9896328],"study_design_scores_gemma":[0.08819164,0.005478477,0.140747,0.2940102,0.006429951,0.002696201,0.003894295,0.004265879,0.007366417,0.000215853,0.4405524,0.006151748],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05095963,0.9468606,0.00003092605,0.0001719032,0.00007468183,0.001665753,0.0000870197,0.00003738556,0.0001121746],"genre_scores_gemma":[0.01911796,0.97844,0.0003339705,0.00004100115,0.0001465766,0.0002757632,0.001246001,0.00006544577,0.0003332612],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.983481,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07644627137797783,"score_gpt":0.3392379421358628,"score_spread":0.262791670757885,"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."}}