{"id":"W2991471204","doi":"10.1002/cyto.b.21858","title":"Multi‐site reproducibility of a human immunophenotyping assay in whole blood and peripheral blood mononuclear cells preparations using CyTOF technology coupled with Maxpar Pathsetter, an automated data analysis system","year":2019,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada)","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Reproducibility; Peripheral blood mononuclear cell; Immunophenotyping; Immune system; Whole blood; Cytometry; Population; Mass cytometry; Immunology; Medicine; Biomedical engineering; Biology; Computational biology; Flow cytometry; In vitro; Chemistry; Chromatography; Phenotype","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":[0.003673009,0.0004062543,0.001187106,0.0007606063,0.0001628608,0.00008295181,0.0007858892,0.0006642949,0.00002262148],"category_scores_gemma":[0.0004313942,0.0003875745,0.000195882,0.00249379,0.0004182631,0.00005814077,0.0005105529,0.0004872274,0.00000522837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767092,"about_ca_system_score_gemma":0.0001299665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001822085,"about_ca_topic_score_gemma":0.0001417786,"domain_scores_codex":[0.9946073,0.0005295009,0.001542301,0.002524515,0.0002931549,0.0005032423],"domain_scores_gemma":[0.9943851,0.0001106353,0.0005810192,0.004498993,0.0002430399,0.0001811928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002075557,0.000982465,0.4540822,0.0001174468,0.0006992893,0.00001137348,0.00003632417,0.0007170288,0.5430979,0.000001669151,0.000003657324,0.00004304362],"study_design_scores_gemma":[0.01404201,0.004716053,0.3472824,0.0004324116,0.004456599,0.00009319402,0.001169249,0.4312626,0.1945444,0.000005966268,0.0001441089,0.001851011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952173,0.0005404617,0.002936394,0.00001670362,0.000143831,0.0006418313,0.0003332541,0.0001529444,0.00001732841],"genre_scores_gemma":[0.9865935,0.00003673677,0.01236766,0.00004590652,0.0001051592,0.00001284751,0.0007241273,0.00006443982,0.00004964388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305456,"threshold_uncertainty_score":0.9998576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053574072511766,"score_gpt":0.3501378348560337,"score_spread":0.299602094130916,"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."}}