WCN25-2948 INTELLECTUAL FREEDOM, OPEN INQUIRY, EQUITY, DIVERSITY, AND INCLUSION: BANFF TRADITIONS FROM THE BEGINNING AND ALSO IMPORTANT TO ISN
Bibliographic record
Abstract
Discussion: Conditions such as post-infectious glomerulonephritis are difficult to differentiate from C3 glomerulopathy by renal biopsy alone, which can confound early diagnosis and treatment.No disease-specific treatments are available, although immunosuppressive agents and complement pathway blocking agents (e.g.eculizumab) are helpful in certain patients.Unfortunately, no treatment is universally effective or curative except allogenic liver transplantation in a few select cases.[1] Moreover, recent advances in research have clarified the role of complement in other glomerular diseases in which its role was less established, namely in immune-complex membranoproliferative glomerulonephritis (IC-MPGN), ANCA-vasculitis, IgA nephropathy, and idiopathic membranous nephropathy.As a standard of care, we would advise complement pathway analysis (C3, C4, CH-50, CFH antibody) and autoimmune work up (ANA profile) for all patients with C3G as a histological picture.As the patient reached complete renal remission (normalising creatinine and proteinuria less than 300 mg/ day), we decided to continue with dual immunosuppression.The management required meticulous in-person and telephonic follow up.Due to the rarity of the disease, optimal management options established through randomized clinical trials are not sufficient to guide therapeutic decision-making.[2,3] In this particular case, renal remission was the only parameter that guides the management without the need to perform genetic tests or complement factor analysis.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.016 | 0.025 |
| Insufficient payload (model declined to judge) | 0.065 | 0.030 |
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".