{"id":"W3047620687","doi":"10.1158/1538-7445.pedca19-a20","title":"Abstract A20: Single-cell immune TCR repertoire profiling in the context of immunotherapy by using three 10x Genomics libraries","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"T-cell receptor; Biology; Immune system; Gene expression profiling; Repertoire; Gene; T cell; Computational biology; Gene expression; Molecular biology; Immunology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408729,0.0001472531,0.0002086299,0.00004073951,0.0001381619,0.00007318603,0.0005586796,0.0001544059,0.00003563236],"category_scores_gemma":[0.0000535584,0.0001193424,0.00009493079,0.0002250515,0.0002919015,0.00001167248,0.00008201525,0.000373147,0.000001793997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004862394,"about_ca_system_score_gemma":0.0003236356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007407467,"about_ca_topic_score_gemma":0.0001089244,"domain_scores_codex":[0.9985762,0.0001162027,0.0003397531,0.0003366317,0.0002659247,0.0003652498],"domain_scores_gemma":[0.9993365,0.00005540857,0.00008205198,0.0003467306,0.0001237853,0.00005553552],"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":[0.0005703913,0.0001127203,0.002383814,0.00008585365,0.00002960878,0.000003882903,0.001178618,0.00007631715,0.989199,0.00001870621,0.000268291,0.006072794],"study_design_scores_gemma":[0.000819154,0.0002488525,0.0001879128,0.00004247443,0.000003335708,0.000001293206,0.001193512,0.000194799,0.9905512,0.00003293158,0.00658579,0.0001387367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759686,0.0221513,0.0002341967,0.000723735,0.0000699833,0.0003984175,0.00005650337,0.000006736133,0.000390508],"genre_scores_gemma":[0.9976839,0.001397834,0.0002036153,0.0003780032,0.0001725655,0.00002859174,0.00005371939,0.00004111273,0.00004064077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02171529,"threshold_uncertainty_score":0.4866644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08904234849044668,"score_gpt":0.3164002338438021,"score_spread":0.2273578853533554,"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."}}