{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143353,0.0002388182,0.0001946759,0.0001498037,0.00009013407,0.0002413055,0.0001012765,0.0001828768,0.001344593],"category_scores_gemma":[0.0001512067,0.0001119891,0.0001646754,0.0001428592,0.00008299237,0.0001493432,0.0002048074,0.0003833106,0.0005054012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375208,"about_ca_system_score_gemma":0.0001363496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484765,"about_ca_topic_score_gemma":0.000191001,"domain_scores_codex":[0.9998994,0.00002047447,0.000009107255,0.00002427717,0.00002532939,0.00002150429],"domain_scores_gemma":[0.9999564,0.00001182313,0.000007447285,0.00000864614,0.000006086662,0.000009712879],"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":[0.00008493383,0.00002491161,0.0003407113,0.00001068419,0.000002528754,0.00002792451,0.000007883948,0.0002555073,0.997013,0.00002768879,0.00002082264,0.002183396],"study_design_scores_gemma":[0.00001880627,0.0003538196,0.002034485,0.000002835793,0.00001612002,0.0002405481,0.00001406064,0.003350868,0.9926237,0.00003539794,0.001307129,0.000002217405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922536,0.0002774181,0.006342148,0.00003292269,0.00001242178,0.00003400358,0.0001810902,0.00005411814,0.0008122317],"genre_scores_gemma":[0.9919654,0.0001844403,0.00586569,0.00003643999,0.000007426561,0.00003542639,0.0005146373,0.00002047385,0.00136994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001344593,"threshold_uncertainty_score":0.004498124,"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."}}