{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007119136,0.0003803501,0.001105426,0.0004036273,0.00005183224,0.00002113192,0.0003863726,0.0003266825,0.0001465935],"category_scores_gemma":[0.0005521,0.0003381464,0.0003207446,0.0008639005,0.000158973,0.0001670636,0.0002280821,0.0004501417,0.00003044172],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624768,"about_ca_system_score_gemma":0.008272378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350909,"about_ca_topic_score_gemma":0.00003525414,"domain_scores_codex":[0.9958534,0.00008314386,0.001205554,0.001021785,0.0009150305,0.0009210597],"domain_scores_gemma":[0.9970764,0.0009530186,0.0003518525,0.0007412807,0.000347863,0.000529612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007192086,0.0008149326,0.9785497,0.003597953,0.0006777841,0.0002116196,0.0003245056,0.003213624,0.0007236706,0.0006785238,0.002863809,0.001151779],"study_design_scores_gemma":[0.08985753,0.004279932,0.8168864,0.0007657451,0.01147891,0.000141143,0.0003186911,0.07169174,0.001684876,0.0009359559,0.0003045074,0.001654588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942296,0.00194207,0.0006250134,0.0002041239,0.0003988427,0.001830718,0.0003654112,0.00006111506,0.0003430802],"genre_scores_gemma":[0.9843946,0.00115225,0.01043462,0.0002928907,0.002138832,0.0004546701,0.00009216663,0.0001022517,0.0009377935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1616633,"threshold_uncertainty_score":0.9999071,"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."}}