Additional file 1: of Noninvasive versus invasive mechanical ventilation for immunocompromised patients with acute respiratory failure: a systematic review and meta-analysis
Bibliographic record
Abstract
Supplement 1. Risk of bias graph: review authorsâ judgements about each risk of bias item presented as percentages across all included studies. Supplement 2. Risk of bias summary: review authorsâ judgements about each risk of bias item for each included study. Supplement 3. CENTRAL search strategy. Supplement 4. PubMed search strategy. Supplement 5. EMBASE search strategy. Supplement 6. CBM search strategy. Supplement 7. Assessment of risk of bias in cohort studies. Supplement 8. Assessment of risk of bias in case-control studies. Supplement 9. Newcastle-Ottawa Grading Results. Supplement 10. Subgroup meta-analysis based on intubation rate in NIV group. Supplement 11. Mortality in hospital by intubation rate. Supplement 12. Mortality in ICU by intubation rate. Supplement 13. 30-day mortality by intubation rate. Supplement 14. Duration of hospitalization by intubation rate. Supplement 15. Duration of ICU stay by intubation rate. Supplement 16. Nosocomial infection by intubation rate. Supplement 17. Duration of mechanical ventilaiton by intubation rate. (DOC 194Â kb)
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 | 0.007 | 0.103 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.793 | 0.032 |
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".