{"id":"W1484902841","doi":"10.1111/ijlh.12368","title":"Flow cytometry immunophenotyping in integrated diagnostics of patients with newly diagnosed cytopenia: one tube 10‐color 14‐antibody screening panel and 3‐tube extensive panel for detection of<scp>MDS</scp>‐related features","year":2015,"lang":"en","type":"review","venue":"International Journal of Laboratory Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Cytopenia; Flow cytometry; Immunophenotyping; Pathology; Cytometry; Myeloid leukemia; Acute promyelocytic leukemia; Leukemia; Bone marrow; Immunology; Biology; Cell culture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001288533,0.0006983805,0.0004116265,0.001773436,0.0002534604,0.0005363796,0.0004905068,0.0006217554,0.001346262],"category_scores_gemma":[0.001085873,0.0002383635,0.0002446243,0.0005600701,0.0003774426,0.0002543918,0.0004760131,0.000565654,0.0005064527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439902,"about_ca_system_score_gemma":0.0004054319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743488,"about_ca_topic_score_gemma":0.002047395,"domain_scores_codex":[0.9993914,0.0002093589,0.00005613588,0.0001122363,0.0001480285,0.00008272808],"domain_scores_gemma":[0.999615,0.0001106483,0.00004914477,0.00002635196,0.000123647,0.00007522912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004362724,0.0005899944,0.5348163,0.000492687,0.0001364654,0.003380577,0.001029155,0.001778814,0.2381841,0.001593427,0.007396282,0.2062394],"study_design_scores_gemma":[0.0003826777,0.002659146,0.799262,0.0002983112,0.0003159285,0.01596597,0.0004389037,0.02432934,0.1288728,0.001176079,0.02620673,0.00009215789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9326198,0.006917296,0.04604086,0.0009878564,0.0002457655,0.0009627005,0.001004896,0.001004001,0.01021681],"genre_scores_gemma":[0.9435543,0.002430726,0.04739025,0.0007532881,0.0001912831,0.0007684433,0.001866258,0.00006342315,0.002981985],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001773436,"threshold_uncertainty_score":0.00681448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578562275869027,"score_gpt":0.3354396619856253,"score_spread":0.299654039226935,"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."}}