{"id":"W2077416999","doi":"10.1002/cyto.b.20115","title":"Flow cytometric assessment of autologous γδ T cells in patients with acute myeloid leukemia: Potential effector cells for immunotherapy?","year":2006,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"University Health Network","keywords":"Medicine; Immunophenotyping; Immunology; Immunotherapy; Bone marrow; Myeloid; T cell; Flow cytometry; Myeloid leukemia; Minimal residual disease; Immune system; Population; Leukemia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003644072,0.0008318722,0.002778606,0.004256343,0.0001627393,0.00009655086,0.0007903443,0.001024517,0.00147511],"category_scores_gemma":[0.0004192652,0.0006917482,0.001100436,0.008413262,0.000699624,0.0002480948,0.0002595684,0.001768948,0.0001033161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216457,"about_ca_system_score_gemma":0.001025206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008139219,"about_ca_topic_score_gemma":0.000008091873,"domain_scores_codex":[0.99124,0.0005978713,0.002803044,0.001535381,0.002230121,0.001593568],"domain_scores_gemma":[0.9928034,0.003294633,0.0008687635,0.00161499,0.0008783123,0.0005398847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01198025,0.006610023,0.7983334,0.0006870002,0.001662852,0.0002919157,0.00002018504,0.0005184233,0.141609,0.00001172565,0.003863225,0.03441203],"study_design_scores_gemma":[0.03293024,0.01016204,0.8983762,0.000231179,0.0004962286,0.0000255499,0.00002068794,0.002896856,0.04891538,0.00002715667,0.005094012,0.0008244939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838019,0.0003227967,0.008740568,0.0000815038,0.001391496,0.00392809,0.0006501869,0.0001726891,0.0009107399],"genre_scores_gemma":[0.9803625,0.0003286028,0.01480937,0.0002814634,0.0008246892,0.0002420959,0.0005373614,0.0002382455,0.002375688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000428,"threshold_uncertainty_score":0.9995534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039524872275232,"score_gpt":0.3542690597803617,"score_spread":0.3338738110576094,"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."}}