{"id":"W4416548268","doi":"10.1158/2326-6066.cir-25-0445","title":"Phenotypic Characterization and Prognostic Impact of CD103+ Tissue-Resident Memory T Cells in Diffuse Large B-cell Lymphoma","year":2025,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; University of British Columbia; Terry Fox Research Institute; BC Cancer Agency","funders":"BC Cancer Foundation; Canada Research Chairs; Canadian Cancer Society; Michael Smith Health Research BC; Terry Fox Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Flow cytometry; Lymph node; Phenotype; Lymphoma; Cytotoxic T cell; Population; Immunophenotyping; Diffuse large B-cell lymphoma; T cell; Transcriptome","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001053534,0.0001849098,0.0005086432,0.001073857,0.0001036315,0.00002953366,0.0002655867,0.0002479786,0.001335537],"category_scores_gemma":[0.0002288193,0.0001639905,0.00007446022,0.001159457,0.0005133108,0.00009023839,0.0003220563,0.0005778426,0.00003094403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515267,"about_ca_system_score_gemma":0.001307472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176694,"about_ca_topic_score_gemma":0.0001253289,"domain_scores_codex":[0.9974026,0.0004997236,0.0004012155,0.0004548687,0.0004179448,0.0008236348],"domain_scores_gemma":[0.9984474,0.0003864597,0.00006915244,0.0005606918,0.0004307316,0.0001055531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001907823,0.00147371,0.06697901,0.0003395458,0.0001677961,0.0000526017,0.0008026561,0.000001017227,0.8881297,0.00004125688,0.0002261942,0.03987872],"study_design_scores_gemma":[0.0134618,0.0007345654,0.6317052,0.000308824,0.00002726609,0.0000090911,0.0002367947,0.0001574348,0.3514867,0.0000601396,0.001698181,0.0001140084],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901184,0.006556049,0.00003166673,0.0004810365,0.0001469631,0.00145102,0.0000442594,0.0000244183,0.001146151],"genre_scores_gemma":[0.9706055,0.005098554,0.00001167033,0.00004111508,0.00005709829,0.0002780811,0.00004713965,0.00003340253,0.02382742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647262,"threshold_uncertainty_score":0.9995774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971413439104169,"score_gpt":0.384366547177579,"score_spread":0.3546524127865373,"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."}}