{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444515,0.0002924016,0.000402872,0.00200318,0.0004112053,0.0008105715,0.0003563887,0.0004175384,0.0007892178],"category_scores_gemma":[0.008750698,0.0002014193,0.0001321818,0.0009791557,0.0005128471,0.0005820295,0.0003690156,0.000480278,0.0002345765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006859011,"about_ca_system_score_gemma":0.0005038591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180748,"about_ca_topic_score_gemma":0.001380101,"domain_scores_codex":[0.9984183,0.0005984898,0.0001792261,0.0002590969,0.0003996036,0.0001452529],"domain_scores_gemma":[0.9962525,0.002090046,0.0006933901,0.0001787679,0.0005118583,0.0002735126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004178964,0.00003274972,0.985985,0.00002718882,0.00002044367,0.0004590182,0.0001410616,0.0002099606,0.003616939,0.00007608681,0.0001853822,0.008828245],"study_design_scores_gemma":[0.00002737273,0.0003970181,0.9735372,0.00005070653,0.00009697452,0.007911601,0.0006233358,0.003119311,0.01234805,0.0001977469,0.001674946,0.00001582543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965286,0.001250442,0.0006196346,0.00006610702,0.00002541342,0.00002339453,0.0002129904,0.00003500253,0.001238472],"genre_scores_gemma":[0.998624,0.0002373527,0.0008613631,0.00003367921,0.00001540663,0.00001771459,0.0001379264,0.000004646293,0.00006802791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00200318,"threshold_uncertainty_score":0.007639408,"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."}}