{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004986873,0.0002710375,0.0003490489,0.0005139462,0.0001504327,0.0003522898,0.0001895807,0.0004000331,0.0009947252],"category_scores_gemma":[0.001472132,0.0001051719,0.00007582887,0.000347521,0.0002612025,0.0002616098,0.0001129263,0.0002995406,0.0004009414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890992,"about_ca_system_score_gemma":0.0001041686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390137,"about_ca_topic_score_gemma":0.000210401,"domain_scores_codex":[0.9997818,0.00008359313,0.00002597869,0.00004036325,0.00004388502,0.00002437373],"domain_scores_gemma":[0.9996213,0.0001811151,0.00008541149,0.00002371518,0.00004462675,0.0000438528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005140566,0.0002742392,0.7742027,0.0002733705,0.00006189906,0.001090048,0.0005574423,0.0006779917,0.120186,0.0002260109,0.001079945,0.09622981],"study_design_scores_gemma":[0.000298983,0.005678509,0.8976961,0.000104801,0.0002359587,0.01319168,0.0006462428,0.006395083,0.06929733,0.0007689675,0.005653615,0.00003267944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955187,0.002232462,0.001247285,0.0001361912,0.00001628644,0.00003636123,0.00008981537,0.00004630509,0.0006765692],"genre_scores_gemma":[0.9981365,0.0004132493,0.001009355,0.00007829898,0.0000370897,0.00002292941,0.000120813,0.000003307929,0.0001783213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009947252,"threshold_uncertainty_score":0.003327668,"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."}}