{"id":"W2609953542","doi":"10.1111/ijlh.12666","title":"Flow cytometry—Recognizing unusual populations in leukemia and lymphoma diagnosis","year":2017,"lang":"en","type":"review","venue":"International Journal of Laboratory Hematology","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Victoria Hospital; London Health Sciences Centre","funders":"","keywords":"Immunophenotyping; Minimal residual disease; Medicine; Lymphoma; Leukemia; Pathology; Flow cytometry; Cytometry; Disease; Bone marrow; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008960929,0.0003684408,0.00233727,0.002004865,0.0000706677,0.0001037421,0.000715708,0.0005671395,0.0001056088],"category_scores_gemma":[0.002876863,0.0003076762,0.0003534394,0.0003749418,0.0002508753,0.0002851922,0.0002643174,0.0006938439,0.00004575101],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01259501,"about_ca_system_score_gemma":0.01988156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007245162,"about_ca_topic_score_gemma":0.00006900176,"domain_scores_codex":[0.9965912,0.0002616112,0.001615374,0.000357318,0.0008161471,0.0003583166],"domain_scores_gemma":[0.9960308,0.0007483287,0.001460518,0.0003798292,0.001100646,0.0002798795],"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":[0.0001411021,0.0002273627,0.003852411,0.004139722,0.001100689,0.01396845,0.000100216,0.000004389195,9.250369e-7,0.001030993,0.001882576,0.9735512],"study_design_scores_gemma":[0.008665566,0.0001619169,0.0003889464,0.02376529,0.0006205594,0.029178,0.00004370636,0.0003344195,0.00001858139,0.0002258615,0.9362637,0.0003334116],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003892846,0.9935843,0.0000574521,0.0002326396,0.00155754,0.0003293512,0.0001001454,0.0000130652,0.0002325979],"genre_scores_gemma":[0.005743227,0.9919847,0.001243475,0.0001031686,0.0006948111,0.00004542635,0.00005125022,0.00006561204,0.00006828345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9732177,"threshold_uncertainty_score":0.9999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1844141625302086,"score_gpt":0.476288107792317,"score_spread":0.2918739452621084,"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."}}