Lyme disease: time for a new approach?
Bibliographic record
Abstract
Many more questions than answers Lyme disease is the most common vector borne disease in North America and Europe, with 300 000 new cases in the United States1 and an estimated 100 000 new cases in Europe each year.2 These numbers are likely to be underestimates because case reporting is inconsistent3 and many infections go undiagnosed.4 Climate change may have contributed to a rapid increase in tick borne diseases, with migratory birds disseminating infected ticks.5 Our common understanding of Lyme disease is that a tick bite is followed by the development of a classic rash pattern (erythema migrans). When treated early with a relatively short course of antibiotics, most patients have good outcomes.6 But the standard two tier testing for Lyme disease is inaccurate in the early …
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 | 0.011 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.013 | 0.030 |
| Insufficient payload (model declined to judge) | 0.019 | 0.015 |
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".