{"id":"W2027450972","doi":"10.1002/cyto.b.20362","title":"2006 Bethesda International Consensus Conference on Flow Cytometric Immunophenotyping of Hematolymphoid Neoplasia","year":2007,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Standardization; Immunophenotyping; Lymphoma; Consensus conference; Pathology; Intensive care medicine; Medical physics; Flow cytometry; Immunology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003012597,0.0005906455,0.001670712,0.002672625,0.000149024,0.00006529968,0.0005054938,0.0006107088,0.001034521],"category_scores_gemma":[0.004242204,0.0005071025,0.0008342421,0.00422139,0.0005630481,0.0001029673,0.0002442467,0.0006546278,0.0007501556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931974,"about_ca_system_score_gemma":0.0004099218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003958849,"about_ca_topic_score_gemma":0.000004563978,"domain_scores_codex":[0.9938599,0.0001746505,0.002589503,0.001031434,0.001459815,0.0008846694],"domain_scores_gemma":[0.9916349,0.004887689,0.0008544713,0.001166733,0.0007220719,0.0007341467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002898199,0.005482236,0.8933427,0.000177913,0.001443697,0.0007922503,0.00005652379,0.000009337548,0.001704375,0.001422948,0.005429733,0.08724005],"study_design_scores_gemma":[0.01647623,0.003062695,0.9019023,0.001030146,0.0006105177,0.0006226679,0.0003401536,0.0005243388,0.05437206,0.0002421171,0.01993375,0.0008830297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963181,0.00133812,0.001099137,0.0009209659,0.002809834,0.000695029,0.0002202488,0.000202782,0.02953291],"genre_scores_gemma":[0.9903621,0.0006080703,0.006010552,0.001159087,0.0007794706,0.00002712894,0.0001532453,0.00007432144,0.0008259878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08635702,"threshold_uncertainty_score":0.9998786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07494909770492787,"score_gpt":0.3895617143402078,"score_spread":0.3146126166352799,"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."}}