{"id":"W2945493637","doi":"10.3389/fonc.2019.00415","title":"Validation of CyTOF Against Flow Cytometry for Immunological Studies and Monitoring of Human Cancer Clinical Trials","year":2019,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Hospital for Sick Children; Princess Margaret Cancer Centre","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Mass cytometry; Flow cytometry; Immune system; Cytometry; Computational biology; Medicine; Immunology; Biology; Phenotype; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00141806,0.00009259359,0.000696246,0.00007449141,0.00002108903,0.000002324862,0.0001042419,0.0003027387,0.000002022537],"category_scores_gemma":[0.0005549743,0.00007959373,0.0001204724,0.00005823029,0.0001765325,0.000003251,0.00004563433,0.00009094214,1.008085e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003877407,"about_ca_system_score_gemma":0.00006070465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000849975,"about_ca_topic_score_gemma":0.000004037171,"domain_scores_codex":[0.9986497,0.0002860303,0.0006586046,0.0002242354,0.00005094322,0.0001305033],"domain_scores_gemma":[0.9992994,0.0001768935,0.000272259,0.0001289861,0.0001005248,0.00002193213],"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":[0.0005097046,0.00009400613,0.3814761,0.00007817913,0.000189709,3.419238e-7,0.00009347637,0.00006436095,0.5861341,0.000006920903,0.0002214079,0.03113171],"study_design_scores_gemma":[0.006536923,0.003939559,0.03680591,0.0001184935,0.0001148308,9.491297e-7,0.001734377,0.0002051014,0.9464997,0.0003771124,0.003436633,0.0002304307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887304,0.006986393,0.001868939,0.00004053036,0.001953671,0.0003386378,0.00002228431,0.000002941292,0.00005624213],"genre_scores_gemma":[0.983191,0.005266143,0.01118496,0.00002549742,0.0002060957,0.00003338167,0.00002355209,0.000009094913,0.00006027627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3603656,"threshold_uncertainty_score":0.3245738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392870602583797,"score_gpt":0.4523593760798902,"score_spread":0.3130723158215105,"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."}}