{"id":"W4389261506","doi":"10.1158/2326-6074.tumimm23-a042","title":"Abstract A042: Quantitative multiplex immunoprecipitation reveals distinct protein interaction networks responsible for discrepant <i>in vivo</i> activity exhibited by two second generation CD22-targeted chimeric antigen receptors","year":2023,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chimeric antigen receptor; Multiplex; CD19; Antigen; CD22; Immunoprecipitation; In vivo; Cancer research; MUC1; CD28; Immunotherapy; Biology; Computational biology; Immunology; Antibody; CD8; Immune system; Bioinformatics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004265106,0.0003682373,0.0007045605,0.001237181,0.0005199788,0.000111249,0.0003249691,0.0003701349,0.003152897],"category_scores_gemma":[0.001608235,0.0003577913,0.0001938317,0.002689562,0.000504785,0.0004916971,0.0001729783,0.001666849,0.0000769973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266421,"about_ca_system_score_gemma":0.0007687042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908207,"about_ca_topic_score_gemma":0.002789897,"domain_scores_codex":[0.9946917,0.001476562,0.0007389008,0.001032642,0.0006886273,0.001371576],"domain_scores_gemma":[0.9962322,0.001734446,0.0002737547,0.0007068482,0.0008928865,0.0001599383],"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":[0.01413182,0.0002862299,0.00295644,0.0001150567,0.0003521903,0.00001854073,0.0008238701,0.0002257827,0.9488111,0.000032541,0.01190825,0.0203382],"study_design_scores_gemma":[0.007304095,0.001910597,0.1270867,0.0005086805,0.00002769267,0.00001005511,0.001299526,0.02242594,0.8141568,0.0001282227,0.0245853,0.0005563868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888166,0.002522938,0.0003292899,0.00163901,0.0006658119,0.00530167,0.0002090163,0.0001637037,0.0003519858],"genre_scores_gemma":[0.9779705,0.001666821,0.0003330022,0.00004118009,0.0003001044,0.00408584,0.001021131,0.0001282123,0.01445317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346543,"threshold_uncertainty_score":0.9998874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110642313262344,"score_gpt":0.4368358340781467,"score_spread":0.3257716027519124,"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."}}