Additional file 1 of Saturated fat, the estimated absolute risk and certainty of risk for mortality and major cancer and cardiometabolic outcomes: an overview of systematic reviews
Bibliographic record
Abstract
Additional file 1: Appendix 1. Search strategies. Appendix 2. The guidance for rating quality of reviews using modified version of AMSTAR-2 instrument. Appendix 3. Quality of conduct of included systematic reviews based on modified AMSTAR-2 instrument. Appendix 4. Summary of findings of systematic reviews of observational studies and randomized controlled trials. Appendix 5. Summary of findings of surrogate outcomes. Appendix 6. Subgroup analysis - all-cause mortality (Hooper et al. 2020) [38]. Appendix 7. Subgroup analysis – cardiovascular mortality (Hooper et al. 2020) [38]. Appendix 8. Subgroup analysis - myocardial infarction (Hooper et al. 2020) [38]. Appendix 9. Subgroup analysis - myocardial infarction (non-fatal) (Hooper et al. 2020) [38]. Appendix 10. Subgroup analysis - coronary heart disease (fatal and non-fatal) (Hooper et al. 2020) [38]. Appendix 11. Subgroup analysis - coronary heart disease (fatal) (Hooper et al. 2020) [38]. Appendix 12. Subgroup analysis - stroke (fatal and non-fatal) (Hooper et al. 2020) [38]. Appendix 13. Subgroup analysis - combined cardiovascular events (Hooper et al. 2020) [38].
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 | 0.005 | 0.070 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.017 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.810 | 0.058 |
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".