{"id":"W4387008102","doi":"10.1016/j.humimm.2023.08.056","title":"P229 Improving monitoring and detection of engraftment in hematopoietic stem cell transplantation through next-generation sequencing (NGS) based chimerism testing: A robust validation study","year":2023,"lang":"en","type":"article","venue":"Human Immunology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CancerCare Manitoba; Saskatchewan Cancer Agency; University of Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority","funders":"","keywords":"Haematopoiesis; Hematopoietic stem cell transplantation; Stem cell; Transplantation; Hematopoietic stem cell; Hematopoietic cell; Computational biology; Immunology; Medicine; Biology; Internal medicine; Genetics","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":[0.003153392,0.0006104466,0.0004056073,0.0006123976,0.0002788084,0.001228907,0.0004767992,0.001007334,0.0009940445],"category_scores_gemma":[0.003383602,0.0002743409,0.000361024,0.0003413688,0.0006623139,0.0004602667,0.0005260831,0.000796564,0.0006243816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509796,"about_ca_system_score_gemma":0.0005522286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007872866,"about_ca_topic_score_gemma":0.001127565,"domain_scores_codex":[0.9975883,0.0004972197,0.0000973382,0.0005512419,0.001133736,0.0001321947],"domain_scores_gemma":[0.9986898,0.0004756101,0.000275097,0.000164165,0.0003126922,0.00008262563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006479894,0.0001683013,0.0363104,0.0001108856,0.0000901003,0.0002854997,0.00009451772,0.003723082,0.9067519,0.0005364147,0.0005369314,0.05074392],"study_design_scores_gemma":[0.00002439215,0.0006722495,0.02859221,0.00003535208,0.0001175986,0.001253473,0.00006485941,0.03254915,0.9321285,0.0007139311,0.003821418,0.00002679215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027034,0.001756614,0.0895244,0.0003456195,0.00007890671,0.0001918006,0.001434649,0.0008568188,0.003107763],"genre_scores_gemma":[0.9563584,0.0006728073,0.03914226,0.0003181261,0.00002621741,0.0001258947,0.001343006,0.0001516733,0.00186154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003153392,"threshold_uncertainty_score":0.01667696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07155932910648632,"score_gpt":0.2639730535296793,"score_spread":0.1924137244231929,"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."}}