{"id":"W2971826769","doi":"10.1016/j.celrep.2019.07.106","title":"Sensitive Detection and Analysis of Neoantigen-Specific T Cell Populations from Tumors and Blood","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stand Up To Cancer; Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California Los Angeles; Parker Institute for Cancer Immunotherapy; Jean Perkins Foundation; National Cancer Institute; Government of Canada; California Institute of Technology; Cancer Research Institute","keywords":"CD8; Avidity; Major histocompatibility complex; Immunotherapy; Biology; Cancer immunotherapy; T cell; Antigen; Immunology; Epitope; Computational biology; Cancer research; Cancer; Immune system; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859285,0.0003689264,0.0002291713,0.0008499954,0.0001907302,0.0003545006,0.0002333923,0.0005175301,0.0008710838],"category_scores_gemma":[0.0004259518,0.0001694035,0.0001601242,0.0002435159,0.0001806948,0.0002128632,0.0002547134,0.000709064,0.0005301203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183364,"about_ca_system_score_gemma":0.0001608857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001983876,"about_ca_topic_score_gemma":0.0005566319,"domain_scores_codex":[0.9995909,0.00009477808,0.00003203078,0.0001159063,0.0001248639,0.00004145973],"domain_scores_gemma":[0.999801,0.00006461759,0.00004221682,0.00002354853,0.00003880741,0.00002983546],"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":[0.00004080169,0.00001986211,0.0009843267,0.00003603396,0.000005147393,0.0000354398,0.00002284047,0.00005199927,0.9928549,0.00007273071,0.00008807949,0.005787896],"study_design_scores_gemma":[0.00001109509,0.0001890445,0.005971605,0.00001243561,0.00002037646,0.0006414092,0.00004205387,0.002552469,0.9873059,0.0002176455,0.00302633,0.000009738746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6429963,0.005964972,0.3430395,0.0003804648,0.0002088495,0.0003664356,0.001464432,0.0009918887,0.004587271],"genre_scores_gemma":[0.823311,0.002892702,0.1668109,0.0005201232,0.0001180399,0.0005561646,0.001156291,0.0000832533,0.004551468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008710838,"threshold_uncertainty_score":0.002914071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008449698733923927,"score_gpt":0.2060881852637056,"score_spread":0.1976384865297816,"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."}}