{"id":"W1964162189","doi":"10.1002/cyto.a.20862","title":"Identification of B cells through negative gating—An example of the MIFlowCyt standard applied","year":2010,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Child and Family Research Institute; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Flow cytometry; Gating; CD14; Cytometry; Biology; CD19; CD11c; Peripheral blood mononuclear cell; B cell; Cell biology; CD8; Immunology; Immune system; Antibody; Molecular biology; In vitro; Phenotype; Neuroscience; Genetics; Gene","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":[0.004472193,0.001523794,0.0008388554,0.002068605,0.001182508,0.001298295,0.001962323,0.002319913,0.006155588],"category_scores_gemma":[0.002648284,0.0006577001,0.0006866978,0.001076616,0.001331679,0.0006714794,0.002076086,0.002379239,0.0054861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005230096,"about_ca_system_score_gemma":0.0004950502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004490219,"about_ca_topic_score_gemma":0.0006229946,"domain_scores_codex":[0.9941666,0.001802432,0.0004202969,0.001249055,0.002010346,0.0003512556],"domain_scores_gemma":[0.9979565,0.0003975156,0.0002062372,0.0007044973,0.000616929,0.0001181905],"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":[0.0005028274,0.000138088,0.001577504,0.0004801734,0.0000503741,0.0001926449,0.0002532704,0.0002997444,0.9206784,0.006428148,0.008126131,0.06127273],"study_design_scores_gemma":[0.00006534467,0.0005468592,0.003755531,0.0001239378,0.00006078515,0.001708154,0.00005509462,0.007626528,0.9107528,0.003478219,0.07175923,0.00006746125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03341658,0.002564239,0.9452342,0.0009008977,0.0006237932,0.001333307,0.001211357,0.004850503,0.009865094],"genre_scores_gemma":[0.1067188,0.001643949,0.8739359,0.00126457,0.0002293675,0.003138219,0.0024872,0.001169113,0.009412918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006155588,"threshold_uncertainty_score":0.02365154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128659635035655,"score_gpt":0.2540786101090297,"score_spread":0.2327920137586731,"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."}}