{"id":"W4246976359","doi":"10.1158/1538-7445.sabcs18-568","title":"Abstract 568: Decoding shared antigenic epitopes and their cognate TCR genes in melanoma TILs using a library of paired human cell-based pHLA multimers and artificial APCs","year":2019,"lang":"en","type":"article","venue":"Immunology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"T-cell receptor; Epitope; Decoding methods; Gene; Computer science; Computational biology; Antigen; T cell; Biology; Genetics; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002407805,0.0001817685,0.0004874918,0.0003568477,0.00005878049,0.00002565675,0.0001115851,0.00019141,0.001448033],"category_scores_gemma":[0.00002282532,0.0001611297,0.00006918504,0.0001685537,0.0002429351,0.00012552,0.00009365832,0.0002561621,0.000008464068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002512607,"about_ca_system_score_gemma":0.0001151268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002526286,"about_ca_topic_score_gemma":0.00007062599,"domain_scores_codex":[0.9987293,0.0001212198,0.0003718795,0.0003266307,0.00009777412,0.0003532133],"domain_scores_gemma":[0.9992528,0.0002625026,0.0001232604,0.0002700466,0.00003520563,0.0000561668],"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":[0.0007543631,0.0001078767,0.07629682,0.0001279377,0.00009285891,0.00003488519,0.000594845,0.0000131797,0.8934003,0.000005792519,0.000004618744,0.02856649],"study_design_scores_gemma":[0.0034122,0.0004257485,0.1988652,0.0001872362,0.00002342292,0.00003046855,0.0005676663,0.003761684,0.7920897,0.0000745064,0.0003721879,0.0001899774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946683,0.004104608,0.000007296525,0.0001161095,0.00008763748,0.0005404146,0.00002673033,0.00003229445,0.0004165996],"genre_scores_gemma":[0.9989747,0.0003524433,0.0003375416,0.0000459475,0.00003664817,0.000007548941,0.0000537678,0.00003998089,0.0001514306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225684,"threshold_uncertainty_score":0.9994648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321153948199939,"score_gpt":0.3006870073738447,"score_spread":0.2574754678918453,"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."}}