ICCS/ESCCA Consensus Guidelines to detect GPI‐deficient cells in Paroxysmal Nocturnal Hemoglobinuria (PNH) and related Disorders Part 2 – Reagent Selection and Assay Optimization for High‐Sensitivity Testing
Bibliographic record
Abstract
Since publication in 2010 of the International Clinical Cytometry Society (ICCS) Consensus Guidelines for detection of Paroxysmal nocturnal hemoglobinuria (PNH) by flow cytometery, a great deal of work has been performed to develop, optimize, and validate a number of high-sensitivity assays to detect PNH phenotypes in both red blood cells (RBCs) and white blood cells (WBCs, neutrophils, and monocytes). This section (Part 2) of the updated ICCS PNH Consensus Guidelines will focus on specific instrument setup for these PNH assays, the identification and proper testing of appropriate antibody conjugates and combinations therof, and basic assay design. © 2017 International Clinical Cytometry Society.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.040 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".