{"id":"W2499987971","doi":"10.1002/cyto.b.21402","title":"Characteristics of Lymphoproliferative Disorders with More Than One Aberrant Cell Population as Detected by 10‐Color Flow Cytometry","year":2016,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Electricity Association; University of Ottawa; Ottawa Hospital; University Health Network","funders":"","keywords":"Population; Biology; B cell; Immunoglobulin light chain; Lymphoproliferative disorders; Plasma cell; Flow cytometry; Lymphocyte; Immunology; Lymphoplasmacytic Lymphoma; Cell; clone (Java method); Immunophenotyping; Chronic lymphocytic leukemia; Cytometry; Pathology; Molecular biology; Lymphoma; Bone marrow; Antibody; Leukemia; Genetics; Medicine; Waldenstrom macroglobulinemia; Gene","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":[0.002107439,0.000868862,0.002386545,0.001624633,0.0002458662,0.00007361036,0.0007283005,0.001048142,0.002112208],"category_scores_gemma":[0.00649269,0.000597224,0.0006373214,0.004970743,0.001338927,0.0004047978,0.0004000638,0.0008720198,0.0007673136],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004410406,"about_ca_system_score_gemma":0.003076636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002004099,"about_ca_topic_score_gemma":0.00002250449,"domain_scores_codex":[0.9910599,0.000534313,0.002642521,0.001662003,0.002623366,0.001477882],"domain_scores_gemma":[0.9911274,0.003672937,0.001118035,0.001853633,0.0009236596,0.001304384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01703198,0.005742942,0.8986556,0.001331212,0.001578063,0.0002652558,0.0001987573,0.000004706355,0.02663237,0.00002561566,0.004736815,0.04379668],"study_design_scores_gemma":[0.07164285,0.0110899,0.8405865,0.001804852,0.001209538,0.0002797345,0.0003074982,0.002795554,0.06341617,0.00009542116,0.004879297,0.001892692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910336,0.0004213681,0.003613175,0.0008057343,0.0004285871,0.001665925,0.0005615603,0.0002895395,0.00118058],"genre_scores_gemma":[0.9897954,0.0009867019,0.001981703,0.000428076,0.0006900379,0.0001426262,0.0004699076,0.00022397,0.005281528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05806911,"threshold_uncertainty_score":0.9996479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817927214185484,"score_gpt":0.340839079105804,"score_spread":0.3126598069639492,"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."}}