{"id":"W2586883972","doi":"10.1093/ecco-jcc/jjx002.176","title":"P050 Centrally-determined standardization of flow cytometry methods reduces inter-laboratory variation in a prospective multicenter study","year":2017,"lang":"en","type":"article","venue":"Journal of Crohn s and Colitis","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Mount Sinai Hospital; Robarts Clinical Trials","funders":"","keywords":"Gating; Peripheral blood mononuclear cell; Flow cytometry; Medicine; Coefficient of variation; Cytometry; Population; Ionomycin; Immunology; Internal medicine; Pathology; Biology; Chemistry; In vitro; Physiology; Stimulation","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":[],"consensus_categories":[],"category_scores_codex":[0.0005121041,0.0000876273,0.0002206266,0.00007617802,0.00006804304,0.00007101061,0.0001275423,0.00007099967,0.00000607064],"category_scores_gemma":[0.0002228542,0.00007689535,0.000053502,0.0000427853,0.00005872725,0.00002511687,0.00003395969,0.00008598061,5.143402e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655857,"about_ca_system_score_gemma":0.00008376753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003464291,"about_ca_topic_score_gemma":0.00007790563,"domain_scores_codex":[0.9991657,0.0001291799,0.0003619111,0.0001262173,0.0001115722,0.000105476],"domain_scores_gemma":[0.9990783,0.00001410466,0.0003921394,0.0001387893,0.0003264693,0.00005016451],"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":[0.007669802,0.00114085,0.1982158,0.00009016977,0.0003362169,0.00006474589,0.005111915,0.00006672267,0.7466278,0.00002062032,0.00006568379,0.04058968],"study_design_scores_gemma":[0.002135029,0.0008201145,0.8623201,0.00006320543,0.00004069503,0.000006112071,0.0003121248,0.0002097974,0.1337074,0.0000504946,0.000252127,0.00008283182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752565,0.0002003698,0.0239499,0.00003537115,0.0002768316,0.0001789474,0.00002623634,0.000001130522,0.00007471393],"genre_scores_gemma":[0.993458,0.0001601393,0.006189971,0.00001744806,0.0001358178,0.000003083447,0.000001803874,0.000008836588,0.00002494009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6641042,"threshold_uncertainty_score":0.3135701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270013058736187,"score_gpt":0.3104150788722722,"score_spread":0.2977149482849103,"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."}}