{"id":"W4413114150","doi":"10.3390/cells14151223","title":"Exploiting TCR Repertoire Analysis to Select Therapeutic TCRs for Cancer Immunotherapy","year":2025,"lang":"en","type":"review","venue":"Cells","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; Chulabhorn Royal Academy","keywords":"T-cell receptor; Immunotherapy; Cancer immunotherapy; Antigen; Cancer; Adoptive cell transfer; T cell; Biology; Computational biology; Immunology; Immune system; Cancer research; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148982,0.0006747864,0.001079213,0.002054641,0.0001231672,0.0008064982,0.0005527015,0.0006972838,0.001955516],"category_scores_gemma":[0.0005229054,0.0002320731,0.0004851324,0.001440259,0.0002623131,0.0007849389,0.0003996001,0.00123496,0.001517085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360483,"about_ca_system_score_gemma":0.0005529373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004062788,"about_ca_topic_score_gemma":0.0006857406,"domain_scores_codex":[0.9998214,0.00002889702,0.00001948119,0.00003480285,0.00007290667,0.00002261242],"domain_scores_gemma":[0.9998344,0.00008121729,0.00002201881,0.000006645178,0.00004486742,0.00001083838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009836492,0.000109938,0.0003679562,0.01542016,0.0001027105,0.0001709294,0.0000404586,0.0008187635,0.02130841,0.003005817,0.008624974,0.9499314],"study_design_scores_gemma":[0.00005129786,0.0003350388,0.002343743,0.003506123,0.0003275671,0.002326694,0.00006653889,0.0006380273,0.01089471,0.002992159,0.9764807,0.00003743434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008362259,0.9961033,0.001034835,0.0001667612,0.0001419915,0.00001555326,0.00004082505,0.00002382904,0.001636746],"genre_scores_gemma":[0.003446427,0.9940636,0.001163228,0.0002029611,0.00008251645,0.00002192266,0.0000971034,0.000005180095,0.0009172219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002054641,"threshold_uncertainty_score":0.006541848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08142222239966064,"score_gpt":0.4294910818292818,"score_spread":0.3480688594296212,"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."}}