{"id":"W4404365610","doi":"10.1002/cyto.b.22213","title":"Improved identification of clinically relevant <scp>Acute Leukemia</scp> subtypes using standardized <scp>EuroFlow</scp> panels versus non‐standardized approach","year":2024,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hôpital Maisonneuve-Rosemont; Hôpital du Sacré-Cœur de Montréal; Centre Hospitalier Universitaire de Sherbrooke; Spinal Cord Injury BC; Université de Sherbrooke; Université de Montréal","funders":"BD Biosciences","keywords":"Immunophenotyping; Flow cytometry; Leukemia; Myeloid leukemia; Cytometry; Medicine; Acute leukemia; Myeloid; Pathology; 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":[0.002482859,0.0005433389,0.0003441082,0.002127247,0.0002981875,0.001131601,0.0005746618,0.0005322098,0.001893729],"category_scores_gemma":[0.002600975,0.0002491318,0.0004148423,0.001383034,0.0004043886,0.0004518509,0.0008322369,0.0004670408,0.0006391996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004342439,"about_ca_system_score_gemma":0.0004999178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275791,"about_ca_topic_score_gemma":0.00321568,"domain_scores_codex":[0.9983698,0.0003745575,0.0001893962,0.000417248,0.000473502,0.0001755285],"domain_scores_gemma":[0.9991516,0.0001752133,0.0001480007,0.0001353195,0.0003324707,0.00005740939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008252261,0.0001201266,0.5067425,0.000317371,0.0003479348,0.001042008,0.0006111413,0.002967556,0.3678292,0.001446274,0.004014876,0.1137359],"study_design_scores_gemma":[0.0001009595,0.0005103862,0.6868539,0.0001596287,0.0005713275,0.005094252,0.0004923914,0.02663222,0.2455505,0.001490348,0.0324635,0.00008041308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630615,0.001820462,0.02699019,0.00035782,0.00006838257,0.0002237507,0.002085469,0.0004652015,0.004927294],"genre_scores_gemma":[0.9591794,0.0007166516,0.03253793,0.0002991456,0.00005460383,0.0001525334,0.005849809,0.0001067445,0.001103128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002482859,"threshold_uncertainty_score":0.01313078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07194693532081425,"score_gpt":0.4001930720475782,"score_spread":0.3282461367267639,"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."}}