{"id":"W2575518031","doi":"10.1182/blood.v126.23.4323.4323","title":"GSTA1 Genotype Influences Performance of Initial Bu Prediction Methods during Conditioning before SCT","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Conditioning; Busulfan; Pharmacokinetics; Conditioning regimen; Nomogram; Internal medicine; Area under the curve; Urology; Gastroenterology; Nuclear medicine; Transplantation; Hematopoietic stem cell transplantation; Mathematics; Statistics","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":[0.001373047,0.0003035337,0.0003698878,0.0003571054,0.0001841528,0.0007206574,0.000165399,0.0003287372,0.00160211],"category_scores_gemma":[0.005763464,0.0001156986,0.0004980559,0.0004315455,0.0001846206,0.0003119144,0.0002270297,0.0004741444,0.0003901902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872923,"about_ca_system_score_gemma":0.0002801506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509461,"about_ca_topic_score_gemma":0.001317334,"domain_scores_codex":[0.9992794,0.00029936,0.00008101027,0.000124504,0.0001446259,0.00007109316],"domain_scores_gemma":[0.9963476,0.002107061,0.0008477381,0.0001744833,0.0003009481,0.000222257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008568716,0.00004737066,0.9872198,0.00001960921,0.0001005143,0.00005067654,0.00008254871,0.0005824319,0.00103477,0.00001651576,0.0001138067,0.009875153],"study_design_scores_gemma":[0.00001357463,0.001199887,0.991795,0.00002504624,0.0001690666,0.0003606991,0.0001489715,0.003678052,0.001990409,0.0000633782,0.0005478538,0.000008015741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982681,0.0007201131,0.0004301136,0.00006221352,0.0000143453,0.000008047547,0.0001299399,0.00000731215,0.0003596864],"genre_scores_gemma":[0.9995998,0.0000699791,0.0001170525,0.000008475061,0.000005524334,0.000002373622,0.0001005828,0.000002619414,0.00009377088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00160211,"threshold_uncertainty_score":0.007261455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525556817711583,"score_gpt":0.3069823644515721,"score_spread":0.2917267962744562,"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."}}