{"id":"W1608094604","doi":"10.1016/j.leukres.2015.04.018","title":"Identification of prognostic subgroups among acute myeloid leukemia patients with intermediate risk cytogenetics using a flow-cytometry-based assessment of ABC-transporter function","year":2015,"lang":"en","type":"article","venue":"Leukemia Research","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Cytogenetics; Mitoxantrone; Internal medicine; Myeloid leukemia; NPM1; Oncology; Medicine; Leukemia; Multivariate analysis; Flow cytometry; Chemotherapy; Biology; Immunology; Karyotype; Gene; Chromosome; Genetics","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":[0.0004191785,0.0003091997,0.0004517236,0.001074165,0.0003684925,0.000791745,0.000304205,0.00046933,0.001169853],"category_scores_gemma":[0.00141033,0.00008973982,0.0002487416,0.0007236394,0.0002615018,0.0004602015,0.0004649236,0.0003965565,0.000302387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994841,"about_ca_system_score_gemma":0.0002570792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000731133,"about_ca_topic_score_gemma":0.000731103,"domain_scores_codex":[0.9998059,0.00003760817,0.00002414067,0.0000406711,0.00003380414,0.00005779736],"domain_scores_gemma":[0.9995413,0.0001267085,0.0001362544,0.000032798,0.00007440763,0.00008856313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029977,0.00004909277,0.9847875,0.00001130882,0.0000391638,0.0001103225,0.00009674894,0.0001487567,0.006600348,0.0001434832,0.000141201,0.006842082],"study_design_scores_gemma":[0.00005842892,0.0004948166,0.9910719,0.00001032412,0.0001252539,0.0008299214,0.0005487926,0.002956269,0.002486851,0.0007589728,0.0006426859,0.00001574021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990939,0.0001383586,0.0002816906,0.00004585064,0.000006253752,0.000009909826,0.0001016531,0.000007303717,0.0003150714],"genre_scores_gemma":[0.9995529,0.00003073551,0.0001495365,0.00001432826,0.000009692086,0.000007516504,0.0001637219,0.000001865134,0.00006965356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001169853,"threshold_uncertainty_score":0.003913581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411452183642174,"score_gpt":0.3469558229346265,"score_spread":0.305810604570409,"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."}}