{"id":"W4389047718","doi":"10.1038/s41375-023-02093-7","title":"Tumor heterogeneity and immune-evasive T follicular cell lymphoma phenotypes at single-cell resolution","year":2023,"lang":"en","type":"article","venue":"Leukemia","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC","funders":"Daiichi Sankyo Europe; Moonshot Research and Development Program; Kobayashi Foundation for Cancer Research; Daiichi Sankyo Foundation of Life Science; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; SGH Foundation; SENSHIN Medical Research Foundation; University of Tsukuba; Yasuda Memorial Medical Foundation; Japan Agency for Medical Research and Development","keywords":"Biology; Immune system; CD8; Phenotype; Tumor microenvironment; Follicular lymphoma; T cell; Single-cell analysis; Cell; Immunology; Cancer research; Lymphoma; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001032758,0.0002202037,0.0003183017,0.00009135427,0.000178464,0.00002754269,0.00006328552,0.00009782911,0.00003078122],"category_scores_gemma":[0.00002937083,0.0001841644,0.0001474347,0.0002224596,0.00006569177,0.00005591122,0.0001417698,0.00004409634,0.0006148837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483454,"about_ca_system_score_gemma":0.0001407386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789574,"about_ca_topic_score_gemma":0.00004521334,"domain_scores_codex":[0.9986966,0.00004322852,0.0002378123,0.000405715,0.0002502074,0.0003664171],"domain_scores_gemma":[0.9992161,0.00009052625,0.00009539382,0.0003770496,0.00004954885,0.0001713616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001635432,0.003343788,0.2768123,0.001386364,0.0007117154,0.006602114,0.00203535,0.0003240235,0.6446736,0.0003757188,0.03239833,0.02970129],"study_design_scores_gemma":[0.009089284,0.0005115088,0.3154684,0.0001043163,0.0002857714,0.0001491979,0.00009430324,0.0007622234,0.6611367,0.00006908621,0.01207183,0.0002573829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915095,0.003384453,0.000005004994,0.0002224861,0.0001479674,0.0003780192,0.00002029492,0.000169342,0.00416294],"genre_scores_gemma":[0.9972301,0.000259314,0.0002371558,0.0003355842,0.0001059283,0.00006674236,0.0001276583,0.00003549201,0.001602098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865617,"threshold_uncertainty_score":0.790329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658978641655458,"score_gpt":0.235408483842232,"score_spread":0.2188186974256774,"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."}}