Additional file 1 of Systematic literature review and meta-analysis of the prevalence of secondary progressive multiple sclerosis in the USA, Europe, Canada, Australia, and Brazil
Bibliographic record
Abstract
Additional file 1: Table 1. Loney quality assessment of SPMS prevalence studies. Table 2. Leave-one-out analysis result. Figure 1. SPMS prevalence (per 100,000) pattern in Australia. Figure 2. SPMS prevalence (per 100,000) pattern in Hungary. Figure 3. SPMS prevalence (per 100,000) pattern in Ireland. Figure 4. SPMS prevalence (per 100,000) pattern in Italy. Figure 5. SPMS prevalence (per 100,000) pattern in Poland. Figure 6. SPMS prevalence (per 100,000) pattern in the United Kingdom. Figure 7. Funnel plot. Figure 8. Baujat plot. Figure 9. Studentized residuals test. Figure 10. Scatter plot of moderator region. Figure 11. Scatter plot of moderator introduction of oral DMT. Figure 12. Scatter plot of moderator sample size. Figure 13. Scatter plot of moderator diagnostic criteria.
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 | 0.004 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.759 | 0.027 |
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".