{"id":"W4403159483","doi":"10.1038/s41409-024-02428-7","title":"Transplant in myeloma: individualized approaches needed depending on context, access and biology","year":2024,"lang":"en","type":"review","venue":"Bone Marrow Transplantation","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Context (archaeology); Multiple myeloma; MEDLINE; Hematopoietic cell; Intensive care medicine; Immunology; Oncology; Computational biology; Stem cell; Haematopoiesis; Genetics; 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":[0.0003686482,0.0005749748,0.001717803,0.001153065,0.00006827487,0.000101993,0.0001480059,0.0004705815,0.00005960456],"category_scores_gemma":[0.00002947007,0.0004139892,0.0002821237,0.0004372072,0.00009118886,0.0001182015,0.00002194001,0.0006740412,0.00007133539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867842,"about_ca_system_score_gemma":0.0002602294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000265815,"about_ca_topic_score_gemma":0.0004032262,"domain_scores_codex":[0.9974387,0.000311631,0.0007319106,0.0007676832,0.0002679626,0.0004821401],"domain_scores_gemma":[0.9990217,0.0003339421,0.0001340639,0.0002319932,0.00001660985,0.0002616789],"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":[0.0009209675,0.0002020446,0.0009231021,0.04993055,0.000643526,0.001859567,0.0005220762,2.628077e-7,0.0000143944,0.0007562095,0.00004998434,0.9441773],"study_design_scores_gemma":[0.05995128,0.003914684,0.0122673,0.3040306,0.04138125,0.01401514,0.0006364376,0.0005869097,0.0004936063,0.00107204,0.5565775,0.005073212],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003208584,0.9904988,0.00008926135,0.0001420715,0.0001498666,0.002654341,0.0009691523,0.0001004135,0.0021875],"genre_scores_gemma":[0.05445782,0.9387536,0.000129068,0.00004934302,0.00007743618,0.0005564731,0.005677722,0.00007985626,0.000218703],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9391041,"threshold_uncertainty_score":0.9998312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2231139613264283,"score_gpt":0.4140143833311895,"score_spread":0.1909004220047612,"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."}}