{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357069,0.0001673813,0.0003700507,0.00009235877,0.0001792821,0.000009067113,0.000504846,0.0003102462,0.0007096924],"category_scores_gemma":[0.0000904456,0.0001231292,0.0001134454,0.0004505668,0.000861974,0.00008978315,0.0001364762,0.0004467711,0.0001451818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001500353,"about_ca_system_score_gemma":0.00007340818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001805356,"about_ca_topic_score_gemma":0.00005526002,"domain_scores_codex":[0.9986104,0.0001662932,0.0005588452,0.000321228,0.00006888899,0.0002743853],"domain_scores_gemma":[0.9982753,0.0002455024,0.0005018275,0.0008052069,0.0001576461,0.00001454026],"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":[0.0001283912,0.000175078,0.0007889198,0.00002568823,0.0001003005,1.967938e-7,0.001755631,0.000003251925,0.9924914,0.002718752,0.0008758289,0.000936589],"study_design_scores_gemma":[0.0008630293,0.0001260452,0.001630414,0.00001099441,0.00004932083,0.000006468697,0.0006964973,0.000001609153,0.9797526,0.0009463701,0.01579094,0.0001256939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954185,0.0001605443,0.0004269913,0.00003678611,0.001647346,0.0003192732,0.00008821074,0.00003681874,0.001865485],"genre_scores_gemma":[0.9982743,0.00001729296,0.0003354808,0.0000453315,0.00003980557,0.00002432819,0.00003766749,0.00001728282,0.001208533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01491511,"threshold_uncertainty_score":0.7770634,"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."}}