{"id":"W2064300367","doi":"10.1038/sj.bmt.1705131","title":"Genetic risk identifies multiple myeloma patients who do not benefit from autologous stem cell transplantation","year":2005,"lang":"en","type":"article","venue":"Bone Marrow Transplantation","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Multiple myeloma; Medicine; Stem cell; Transplantation; Autologous stem-cell transplantation; Oncology; Internal medicine; Immunology; Genetics; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001346257,0.0003706613,0.0004501581,0.0002664862,0.0002562054,0.00008715255,0.0001298204,0.0002123923,0.0002094056],"category_scores_gemma":[0.00001390795,0.0003470195,0.0001904809,0.0001957427,0.00006925294,0.0003219044,0.00001008586,0.0002675428,0.0003584533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534636,"about_ca_system_score_gemma":0.0000616351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006813,"about_ca_topic_score_gemma":0.00138758,"domain_scores_codex":[0.9972301,0.0001403314,0.0006577229,0.0006409899,0.0008036188,0.0005272636],"domain_scores_gemma":[0.9986841,0.0002624719,0.0002166852,0.0003648705,0.0001719812,0.0002998745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005544526,0.0007165645,0.757315,0.000537678,0.0002363255,0.0004634577,0.003831016,0.0005164422,0.01975119,0.000009400533,0.0001358628,0.2109425],"study_design_scores_gemma":[0.0107755,0.0003014563,0.9113327,0.0001684457,0.0006166525,0.00004546837,0.00007691925,0.002473761,0.07373493,0.00003805432,0.0001422317,0.0002939118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935705,0.0004707412,0.001800831,0.0001412713,0.0001581207,0.001143235,0.002003276,0.0001562708,0.0005557236],"genre_scores_gemma":[0.9899938,0.002845935,0.003393908,0.00009612292,0.0001550202,0.0001291126,0.002626125,0.00006120911,0.000698797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2106486,"threshold_uncertainty_score":0.9998982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272838917331728,"score_gpt":0.2412562163791693,"score_spread":0.228527827205852,"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."}}