{"id":"W2935251294","doi":"10.1016/j.htct.2018.11.007","title":"CD9 predicts ETV6-RUNX1 in childhood B-cell precursor acute lymphoblastic leukemia","year":2019,"lang":"en","type":"article","venue":"Hematology Transfusion and Cell Therapy","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Cancer Research Institute","funders":"Fundação Oswaldo Cruz; Fundação do Câncer; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Flow cytometry; Medicine; ETV6; Cutoff; Leukemia; B cell; Lymphoblastic Leukemia; Fusion gene; Cell; Internal medicine; Molecular biology; Oncology; Cancer research; Immunology; Gene; Biology; Chromosomal translocation; Genetics; Antibody","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002746784,0.0004080146,0.000858269,0.0003485249,0.00008981388,0.00002310723,0.0002256333,0.0005245135,0.00113734],"category_scores_gemma":[0.00001400091,0.0003267461,0.0001511746,0.0003985084,0.0001892473,0.0001089771,0.00005036684,0.0005558286,0.0003680427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002982762,"about_ca_system_score_gemma":0.0009558075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007699812,"about_ca_topic_score_gemma":0.00002234341,"domain_scores_codex":[0.9973217,0.0001545353,0.0005249006,0.0007757496,0.0004596358,0.0007634542],"domain_scores_gemma":[0.9986681,0.000300967,0.00008388042,0.0005253642,0.00007147344,0.0003502432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02071057,0.008528369,0.2277395,0.002818197,0.000892271,0.003105138,0.02105074,0.0001064835,0.6694731,0.001979171,0.009407451,0.03418905],"study_design_scores_gemma":[0.2388576,0.01045733,0.1166428,0.001510389,0.0005161995,0.008030425,0.001942614,0.01683922,0.5775282,0.001280472,0.02400877,0.00238591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810353,0.002664069,0.000330842,0.0006134124,0.0002457878,0.001565409,0.00001265082,0.0001202308,0.01341231],"genre_scores_gemma":[0.9807796,0.01387369,0.0003444367,0.001248856,0.00005323254,0.00008978201,0.00003782185,0.00007944269,0.00349312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218147,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007441038805008407,"score_gpt":0.2409626801206312,"score_spread":0.2335216413156228,"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."}}