{"id":"W3194774701","doi":"10.1200/po.20.00489","title":"Ethical and Analytic Challenges With Genomic Sequencing of Relapsed Hematologic Malignancies Following Allogeneic Hematopoietic Stem-Cell Transplantation","year":2021,"lang":"en","type":"article","venue":"JCO Precision Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Blood Services; Dalhousie University; SickKids Foundation; University of Toronto; University of Ottawa; Hospital for Sick Children","funders":"","keywords":"Transplantation; Hematopoietic stem cell transplantation; Germline; Oncology; Leukemia; DNA sequencing; Stem cell; Cancer; Haematopoiesis; Biology; Medicine; Immunology; Bioinformatics; Internal medicine; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0003718957,0.000171587,0.0004033106,0.00005809217,0.00006693257,0.00001407375,0.0001205821,0.0004542577,0.00001097625],"category_scores_gemma":[0.00006632746,0.0001518605,0.0001038995,0.00008361165,0.00009788199,0.000003943413,0.00009406041,0.0001777349,0.000002647478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006363878,"about_ca_system_score_gemma":0.0004628696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009565641,"about_ca_topic_score_gemma":0.00021518,"domain_scores_codex":[0.9986205,0.0001701068,0.0003702612,0.0004742888,0.0001409052,0.0002238995],"domain_scores_gemma":[0.9990477,0.0002806529,0.000167432,0.0003034518,0.000114524,0.00008626467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002763761,0.00008986233,0.001591332,0.000224053,0.00009748467,0.000276838,0.0009007766,0.0005542364,0.9910918,0.0006283452,0.00009579302,0.004173115],"study_design_scores_gemma":[0.003841001,0.002750068,0.005706931,0.0002391539,0.0004247428,0.001425741,0.002945247,0.0001409505,0.9737347,0.001223163,0.006973205,0.0005950402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848845,0.01140853,0.001965333,0.00062875,0.0001376101,0.0001698028,0.00001408914,0.000008813248,0.000782572],"genre_scores_gemma":[0.9840522,0.01226906,0.003072059,0.0003846318,0.00003832538,0.00002209881,0.00004123649,0.00002200697,0.00009838991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735703,"threshold_uncertainty_score":0.619269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303035092479876,"score_gpt":0.2738923576790774,"score_spread":0.2508620067542786,"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."}}