{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04035811,0.001076221,0.001143904,0.003385972,0.001141068,0.002131638,0.001609971,0.002477125,0.004469933],"category_scores_gemma":[0.04792487,0.0004515154,0.0007064137,0.001919542,0.001691909,0.000840472,0.00118373,0.001842398,0.002309222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476753,"about_ca_system_score_gemma":0.001870937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469621,"about_ca_topic_score_gemma":0.00134263,"domain_scores_codex":[0.9602994,0.0193007,0.002593785,0.004051983,0.01242043,0.00133366],"domain_scores_gemma":[0.9661543,0.01458332,0.002988619,0.005141797,0.01047854,0.0006533144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005575901,0.001488896,0.03268864,0.001234851,0.0004149184,0.0003769662,0.001762997,0.01692664,0.7232329,0.01454828,0.02006674,0.1816821],"study_design_scores_gemma":[0.0005650074,0.004003835,0.0400378,0.0004203767,0.0002678223,0.001138497,0.0002624298,0.04361288,0.8023139,0.005768167,0.10139,0.0002193685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225201,0.00503362,0.7139137,0.002771338,0.001171971,0.01156633,0.01282489,0.003453092,0.02406402],"genre_scores_gemma":[0.5515368,0.002162749,0.3994703,0.002744069,0.000442042,0.02616214,0.01059975,0.0008522492,0.006029953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04035811,"threshold_uncertainty_score":0.2134367,"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."}}