{"id":"W4413874697","doi":"10.1038/s41590-025-02265-w","title":"Pre-TCR-targeted immunotherapy for T cell acute lymphoblastic leukemia","year":2025,"lang":"en","type":"article","venue":"Nature Immunology","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centro Nacional de Biotecnología; Agencia Estatal de Investigación; Brigham and Women's Hospital; University of Toronto; Ministerio de Ciencia, Innovación y Universidades; Universiteit van Amsterdam; European Commission; European Regional Development Fund; Centro de Biología Molecular Severo Ochoa; Comunidad de Madrid; Sunnybrook Research Institute; Fundación Inocente, Inocente; Fundación Ramón Areces","keywords":"T-cell receptor; Immunotherapy; Lymphoblastic Leukemia; T cell; Immunology; Medicine; Cancer research; Leukemia; Immune system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002840798,0.0004231801,0.0007764077,0.0005873229,0.0002241253,0.00003704489,0.0005949899,0.001634568,0.0002245045],"category_scores_gemma":[0.0005049462,0.0003593181,0.0003198947,0.000779434,0.0003338643,0.00009473236,0.0001898717,0.001342796,0.0001069829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002616483,"about_ca_system_score_gemma":0.003319056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005398615,"about_ca_topic_score_gemma":0.000005474002,"domain_scores_codex":[0.9973341,0.000104496,0.0005400078,0.0007115528,0.0003310659,0.0009787471],"domain_scores_gemma":[0.9973947,0.0008883726,0.0001443802,0.0009722149,0.0004948617,0.0001055006],"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":[0.0154384,0.0004974757,0.000940736,0.0003968201,0.003270378,0.0001822674,0.000326241,0.00002222086,0.8808464,0.004282394,0.07271787,0.02107879],"study_design_scores_gemma":[0.06431086,0.003849517,0.04382204,0.0004598684,0.001138399,0.0006928475,0.0002304519,0.006386908,0.4915524,0.004179795,0.3823256,0.001051343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952166,0.03987583,0.02839682,0.00685865,0.004699674,0.00497006,0.00020315,0.0008400355,0.01893912],"genre_scores_gemma":[0.953976,0.0009240269,0.005683972,0.004500647,0.0002562166,0.0004227432,0.0002867673,0.0001050172,0.03384461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3892941,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004988481963432424,"score_gpt":0.289404259022559,"score_spread":0.2844157770591266,"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."}}