{"id":"W2885865993","doi":"10.1038/s41375-018-0229-3","title":"Genomic prediction of relapse in recipients of allogeneic haematopoietic stem cell transplantation","year":2018,"lang":"en","type":"article","venue":"Leukemia","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Scholarship Council; Tekes; Academy of Finland","keywords":"Transplantation; Human leukocyte antigen; Oncology; Biology; Haematopoiesis; Population; Exome sequencing; Stem cell; Internal medicine; Immunology; Medicine; Bioinformatics; Genetics; Gene; Antigen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006850339,0.0002023294,0.0002327558,0.0003904704,0.0001217207,0.0003368801,0.0001875827,0.0002332008,0.0004540142],"category_scores_gemma":[0.002216977,0.00007930386,0.0002889161,0.0002986014,0.0001425312,0.0001276694,0.0002616452,0.0003489062,0.00009147768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405262,"about_ca_system_score_gemma":0.0001098255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009888221,"about_ca_topic_score_gemma":0.00102035,"domain_scores_codex":[0.9998193,0.00009595636,0.00001193617,0.00003170921,0.00002129625,0.00001971558],"domain_scores_gemma":[0.9993856,0.0003675944,0.0001288014,0.00004674975,0.00003003505,0.00004125289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006695091,0.00008041199,0.9700336,0.000008414918,0.0001186044,0.000198457,0.0000574614,0.01000796,0.002847216,0.0001260594,0.0001744717,0.01567785],"study_design_scores_gemma":[0.00003187355,0.0002981447,0.8939619,0.00001138011,0.0001390322,0.0005091754,0.0001444766,0.100942,0.002620257,0.001053992,0.0002763675,0.00001146088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994368,0.0000418466,0.0004040745,0.00001905883,0.000001247193,0.000001426226,0.0000402752,0.000006226745,0.00004910454],"genre_scores_gemma":[0.9997001,0.00001549325,0.0001419224,0.000004996111,0.000001566251,9.696299e-7,0.0001091256,0.000001146112,0.00002470406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009888221,"threshold_uncertainty_score":0.00362289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184548152876578,"score_gpt":0.2451735464951082,"score_spread":0.2267187312074504,"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."}}