{"id":"W4313383855","doi":"10.4049/jimmunol.200.supp.120.24","title":"Cross platform validation of a unique method for deep genomic and proteomic analysis of rare immune cell populations","year":2018,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mass cytometry; Flow cytometry; Cell sorting; Immune system; RNA; Computational biology; Biology; Cytometry; DNA; CD8; Cell; Antibody; Molecular biology; Cell biology; Immunology; Gene; Genetics","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":[0.0005862565,0.00007686992,0.0002640174,0.000125743,0.00007016188,0.000005448647,0.0001873643,0.0001158783,0.00001133469],"category_scores_gemma":[0.00005340879,0.00005599697,0.000149147,0.0001189285,0.0001737003,0.000006173234,0.0000359262,0.00007346523,1.20976e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001098383,"about_ca_system_score_gemma":0.00005153371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008316729,"about_ca_topic_score_gemma":0.00003657298,"domain_scores_codex":[0.999231,0.00009738629,0.0004586534,0.00007072401,0.00004354553,0.00009870408],"domain_scores_gemma":[0.9989063,0.00004217665,0.0005367441,0.0001827272,0.0003173507,0.00001467974],"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":[0.0007197738,0.00004230582,0.002510321,0.00001423583,0.0005570931,8.759308e-8,0.000397554,0.0006172,0.9941291,0.00005123939,0.000002654929,0.0009584008],"study_design_scores_gemma":[0.0007710025,0.0009018587,0.03008561,0.000006989819,0.000538548,0.00002261765,0.0001141507,0.0008749988,0.9662328,0.0003152393,0.00007961806,0.00005656386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752821,0.0009479324,0.1234742,0.00003532468,0.00008498235,0.0001351378,0.00001690068,9.279578e-7,0.00002242977],"genre_scores_gemma":[0.9863798,0.0002055733,0.01327745,0.00001450207,0.00004721721,0.000002328904,0.00002572918,0.000008907705,0.00003847611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110977,"threshold_uncertainty_score":0.228349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242409246671374,"score_gpt":0.2947874474977988,"score_spread":0.2723633550310851,"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."}}