Of mice and men: experimental autoimmune encephalitis and multiple sclerosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Research using experimental autoimmune encephalitis (EAE) models accounts for almost 20% of the papers. published in multiple sclerosis (MS). METHODS: We performed a literature review of papers indexed with ISI Web of Science on EAE and MS over the last 30 years and a detailed analysis of studies of molecular pathways in EAE published in 2008 and 2009. RESULTS: The impact of EAE studies declines more rapidly than other studies published on MS (EAE cited corrected half-life = 4·00 years vs. MS cited corrected half-life = 9·66 years, P < 0·0001). The pathology of EAE differs quite markedly from that observed in the human disease. EAE has implicated many different genes as important to pathogenesis but only a minority of these are supported by human studies. CONCLUSIONS: Future research should critically appraise precisely what is being modelled by EAE before drawing conclusions about human disease.
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.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it