{"id":"W4393193489","doi":"10.1002/cpz1.1020","title":"Practical 10‐Color T‐Cell Panel for Phenotyping Diverse Populations Using Spectral Flow Cytometry: A Beginner's Guide","year":2024,"lang":"en","type":"article","venue":"Current Protocols","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Flow cytometry; Cytometry; Immune system; Computational biology; Context (archaeology); Biology; Multiplex; Fluorophore; Mass cytometry; Immunology; Computer science; Bioinformatics; Phenotype; Genetics; Physics; Fluorescence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002109898,0.0002221897,0.0001836703,0.00008934829,0.000176617,0.0001696434,0.0001620061,0.0001441828,0.00006839577],"category_scores_gemma":[0.0001355337,0.0002120732,0.0002093485,0.0001808535,0.00006066708,0.00002051208,0.00007211796,0.0001640687,0.00002251056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006664982,"about_ca_system_score_gemma":0.0002477345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000982099,"about_ca_topic_score_gemma":0.00001008462,"domain_scores_codex":[0.9986183,0.00004810297,0.0003136496,0.0004918872,0.0001498576,0.0003781767],"domain_scores_gemma":[0.9994151,0.00002821448,0.00006675296,0.0002700119,0.0001012882,0.0001186212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006696698,0.0009253696,0.00168799,0.001491219,0.0001392591,0.00001707185,0.0001872652,0.001500638,0.9286152,0.001896549,0.03242081,0.03044895],"study_design_scores_gemma":[0.001643813,0.0004516137,0.0001317157,0.0003642048,0.0001565193,0.00002350798,0.00006216868,0.1750993,0.08847212,0.0003960783,0.7325643,0.0006346051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0586536,0.0006837967,0.8683368,0.0003790123,0.001933407,0.06858635,0.0003861135,0.0001835368,0.0008573863],"genre_scores_gemma":[0.6670722,0.0000630384,0.2071298,0.0003377656,0.008720187,0.1104546,0.001996991,0.0003788826,0.003846574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8401431,"threshold_uncertainty_score":0.8648095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2488195733948783,"score_gpt":0.4356162102273476,"score_spread":0.1867966368324693,"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."}}