{"id":"W4280654322","doi":"10.1126/science.abl5311","title":"Universal antigen encoding of T cell activation from high-dimensional cytokine dynamics","year":2022,"lang":"en","type":"article","venue":"Science","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health","keywords":"Antigen; Immune system; Encoding (memory); T cell; Chimeric antigen receptor; Biology; Cell biology; Immunology; Computational biology; Neuroscience","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":[0.0002123364,0.0003573759,0.0003213216,0.0001655006,0.0001631674,0.0005331638,0.0003472701,0.0004365293,0.0005391709],"category_scores_gemma":[0.000767634,0.0001936291,0.0004328654,0.0002023252,0.0009043864,0.0009524186,0.0004058575,0.0008343998,0.00008010282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149342,"about_ca_system_score_gemma":0.000424969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007623056,"about_ca_topic_score_gemma":0.0006184417,"domain_scores_codex":[0.9999189,0.00002291107,0.00000440384,0.00002116904,0.0000217888,0.00001077581],"domain_scores_gemma":[0.9997322,0.0001282223,0.00005484593,0.00005188911,0.00001475657,0.00001807823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008378539,0.00003960366,0.001477164,0.0001244238,0.00003128765,0.00008323252,0.00006140144,0.8567421,0.06092047,0.06839126,0.0003057482,0.01173951],"study_design_scores_gemma":[0.000004130186,0.00002108187,0.0003062216,0.000003042732,0.000002560046,0.00001789901,0.000005662841,0.9814668,0.0059244,0.01188238,0.0003586794,0.000007144929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.309641,0.0003152428,0.6864854,0.0003703659,0.00006342523,0.00003767692,0.0002417836,0.0002374129,0.002607777],"genre_scores_gemma":[0.9494321,0.0003678803,0.04900645,0.00005993625,0.00001995026,0.00006239468,0.0001646826,0.00002991243,0.0008567261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007623056,"threshold_uncertainty_score":0.003736138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008209756815364405,"score_gpt":0.2030349608517082,"score_spread":0.1948252040363438,"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."}}