{"id":"W2741500080","doi":"10.1002/pbc.26738","title":"Value of flow cytometric analysis of peripheral blood samples in children diagnosed with acute lymphoblastic leukemia","year":2017,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Concordance; Lymphoblastic Leukemia; Bone marrow; Peripheral; Peripheral blood; Leukemia; Bone marrow aspirate; Acute lymphocytic leukemia; Acute leukemia; Flow cytometry; Anesthesia; Pathology; Internal medicine; Immunology","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":[0.0003878053,0.0004108935,0.001527412,0.00237705,0.0001398697,0.00004678686,0.0007472377,0.0002404951,0.000314914],"category_scores_gemma":[0.0007517783,0.0003280392,0.0003586683,0.004301661,0.0003496138,0.0002020429,0.0002459098,0.0003430588,0.000003945276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006823487,"about_ca_system_score_gemma":0.003509924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364119,"about_ca_topic_score_gemma":0.0006605781,"domain_scores_codex":[0.9963181,0.00008475246,0.0008219647,0.0007277194,0.001299446,0.0007480391],"domain_scores_gemma":[0.9967231,0.0004806786,0.0007437288,0.001324174,0.0004089883,0.0003193628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006348322,0.0006259204,0.9848475,0.0002562006,0.007904569,0.0002282141,0.0002966403,0.003538142,0.0006715245,0.00002354905,0.000100006,0.0008728962],"study_design_scores_gemma":[0.01481205,0.0007276435,0.9421555,0.0001036972,0.03338168,0.00007676754,0.00002961236,0.00639217,0.00199833,0.000008391554,0.000004438111,0.0003097197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959255,0.002258726,0.0002778473,0.00006120669,0.00007707861,0.0006703569,0.000475697,0.00003463628,0.0002188842],"genre_scores_gemma":[0.9923798,0.004081525,0.00260379,0.00005498201,0.0004867056,0.0001478035,0.00006743689,0.00006844997,0.0001095369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.042692,"threshold_uncertainty_score":0.9999171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122968126323589,"score_gpt":0.2836389655061953,"score_spread":0.2724092842429595,"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."}}