{"id":"W2943049404","doi":"10.1002/pbc.27787","title":"Clinical benefit of a high‐throughput sequencing approach for minimal residual disease in acute lymphoblastic leukemia","year":2019,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute for Health and Care Research","keywords":"Medicine; Minimal residual disease; Lymphoblastic Leukemia; DNA sequencing; Residual; Disease; Leukemia; Oncology; Computational biology; Internal medicine; Gene; Genetics; Algorithm","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":[0.001001235,0.0003347107,0.000367601,0.0003312625,0.0003056157,0.0007032265,0.0001868912,0.0004125843,0.001287949],"category_scores_gemma":[0.002393008,0.0001124251,0.0001896628,0.000256399,0.0004068181,0.0003295135,0.0002825344,0.0007969448,0.0006126028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002953575,"about_ca_system_score_gemma":0.0003071158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003565331,"about_ca_topic_score_gemma":0.0006015684,"domain_scores_codex":[0.9993525,0.0003214785,0.0000391099,0.00008150053,0.0001634335,0.0000420353],"domain_scores_gemma":[0.9990811,0.0004934674,0.0001124667,0.00009037271,0.0001258472,0.0000966818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004748976,0.0006344226,0.08119515,0.0005397041,0.00009669326,0.006561971,0.0008069411,0.00411986,0.3368005,0.002514041,0.01172318,0.5502586],"study_design_scores_gemma":[0.0004396726,0.01364802,0.2063213,0.0002852966,0.0005735062,0.05933571,0.0007901121,0.02517702,0.5673323,0.007899942,0.1180153,0.0001817545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106714,0.01500144,0.0499377,0.005854207,0.0004476082,0.0003478008,0.000829076,0.001419835,0.01549093],"genre_scores_gemma":[0.9794614,0.002272017,0.01518919,0.0008971817,0.000124667,0.00009437586,0.0005233125,0.00006936007,0.001368474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001287949,"threshold_uncertainty_score":0.005295098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493743164286561,"score_gpt":0.3198378248729604,"score_spread":0.2949003932300948,"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."}}