{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001209673,0.0005596104,0.003477524,0.002209781,0.00005098092,0.000038887,0.0005899032,0.0008472711,0.00002211124],"category_scores_gemma":[0.01363759,0.0004338208,0.00029954,0.001185621,0.0003721632,0.0002922289,0.000204913,0.001654365,0.000003759731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839586,"about_ca_system_score_gemma":0.002275964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003089225,"about_ca_topic_score_gemma":0.00002139606,"domain_scores_codex":[0.9952621,0.0005063835,0.00224913,0.0004548162,0.001087063,0.000440435],"domain_scores_gemma":[0.9817924,0.004462691,0.002717276,0.0003115975,0.01046486,0.0002511819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01662826,0.006251803,0.05083369,0.03864639,0.03611355,0.008836608,0.003927503,0.0004932591,0.005708556,0.0007056604,0.004907851,0.8269469],"study_design_scores_gemma":[0.1713181,0.02369159,0.1328834,0.2889425,0.02329621,0.01843577,0.008421367,0.002937611,0.01461435,0.0007935923,0.3110514,0.003613977],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1995603,0.7946717,0.002122011,0.00007526026,0.000849931,0.001862656,0.0008133971,0.00002245818,0.00002230425],"genre_scores_gemma":[0.08245776,0.9050316,0.01059872,0.0001080615,0.0003143578,0.0001225046,0.001071584,0.0002330743,0.00006231973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8233329,"threshold_uncertainty_score":0.9998114,"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."}}