Bibliographic record
Abstract
Lyme nephritis, an uncommon serious complication of Lyme borreliosis mostly seen in Labrador and golden retrievers, is a protein-losing nephropathy due to Lyme-specific antigen-antibody complex deposition in renal glomeruli. Lyme nephritis is not necessarily preceded nor accompanied by lameness (Lyme arthritis), but may present emergently, even before azotemia or polyuria/polydipsia exist, due to thromboembolic events, hypertensive target organ damage, nephrotic syndrome, signs of tick-borne or leptospirosis co-infections, or eventual renal failure. Presumptive diagnosis includes serological evidence of exposure while ruling out other causes of proteinuria. Treatment includes antimicrobial therapy and standard treatments for glomerular proteinuria, hypercoagulopathy, hypertension, and renal failure. Immunosuppressive therapy is warranted if immune-complex deposition is documented by cortical renal biopsy, or if non-biopsied cases are rapidly deteriorating despite standard therapy. Without an experimental model or validated stains to prove immune-complexes in glomeruli are Lyme specific, the pathogenesis and best treatment protocol are difficult to study and currently unknown.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".