Immunogold Labeling for Igg, Immunoglobulin Light Chains and P-Component in Fibrillary and Immunotactoid Glomerular Nephritis
Bibliographic record
Abstract
Abstract Fibrillary and immunotactoid glomerulonephritis (FGN & IGN) are uncommon glomerular diseases, diagnosed by electron microscopic identification of fibril deposits which are negative by the Congo red stain. Micro-fibrils are similar to normal structures in glomerular basement membrane and matrix and they can be missed by EM. Pathogenesis of these glomerulopathies is unclear but they are not believed to be associated with monoclonal gammopathies as in AL amyloidosis. Immunofluorescense (IF) on FGN indicates the fibrils typically are positive for IgG and both immunoglobulin light chains while IGN fibrils are light chain monoclonal. We did immunogold labeling on four cases of FIGN in to improve the diagnosis of these diseases and investigate fibril protein composition. Renal biopsies from four patients consisted of one IGN and 3 FGN. Tests included frozen section IF (IgG, IgA, IgM, C3), paraffin section histology (Congo Red) and conventional EM (osmium fixation and epoxy embedding).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".