{"id":"W4415898573","doi":"10.1136/jitc-2025-sitc2025.0164","title":"164 A 50-marker mass cytometry intracellular cytokine staining panel: unprecedented resolution enables unrivaled detection of functional diversity present among human immune cell subsets","year":2025,"lang":"","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Mass cytometry; Immune system; Intracellular; Flow cytometry; Cytokine; Resolution (logic); Functional diversity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001047118,0.0006740889,0.0007343685,0.0004234961,0.001044708,0.0001535713,0.0003850916,0.0009386297,0.00002176585],"category_scores_gemma":[0.0002755556,0.0007620932,0.0003972974,0.0005384958,0.001046847,0.00006911085,0.0004522853,0.0006158458,0.000002362719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043586,"about_ca_system_score_gemma":0.0003894246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302324,"about_ca_topic_score_gemma":0.0001835511,"domain_scores_codex":[0.9959133,0.0003998823,0.001208166,0.001094692,0.00061903,0.0007649368],"domain_scores_gemma":[0.9975925,0.00006450654,0.0006846761,0.0007028228,0.0004407494,0.0005147326],"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":[0.0007125678,0.0003464714,0.06331575,0.0008741757,0.0005454357,0.0000240247,0.0002091229,0.001602197,0.9317684,0.00003547203,0.0001928888,0.0003734991],"study_design_scores_gemma":[0.002507618,0.0003296137,0.1598692,0.0003929132,0.0005243238,0.00001486629,0.0005398219,0.001847591,0.8310734,0.0002123264,0.002097826,0.0005904958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823615,0.006224884,0.008878429,0.0001557415,0.001016023,0.0006808782,0.0001020324,0.00005080354,0.0005297031],"genre_scores_gemma":[0.9964496,0.0009726448,0.0002528713,0.00005191721,0.0002863308,0.00001912823,0.000468845,0.00006101492,0.001437626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100695,"threshold_uncertainty_score":0.999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718002217721588,"score_gpt":0.2153726872517969,"score_spread":0.1981926650745811,"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."}}