Additional file 1 of A Systematic Review and Meta-analysis of the Association Between ACTN3 R577X Genotypes and Performance in Endurance Versus Power Athletes and Non-athletes
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
Additional file 1: The funnel plots for the comparison of genotype frequencies: Figure S1. Funnel plot of ACTN3 R577X polymorphism in power athletes (RR vs. RX genotypes). Figure S2. Funnel plot of ACTN3 R577X polymorphism in power athletes (RR vs. XX genotypes). Figure S3. Funnel plot of ACTN3 R577X polymorphism in power athletes (RX vs. XX genotypes). Figure S4. Funnel plot of ACTN3 R577X polymorphism in power athletes (R vs. X alleles). Figure S5. Funnel plot of RR genotype expression in power athletes versus controls. Figure S6. Funnel plot of RX genotype expression in power athletes versus controls. Figure S7. Funnel plot of XX genotype expression in power athletes versus controls. Figure S8. Funnel plot of R allele in power athletes versus controls. Figure S9. Funnel plot of X allele in power athletes versus controls. Figure S10. Funnel plot of RR genotype expression in power versus endurance athletes. Figure S11. Funnel plot of RX genotype expression in power versus endurance athletes. Figure S12. Funnel plot of XX genotype expression in power versus endurance athletes. Figure S13. Funnel plot of R allele in power athletes versus endurance athletes. Figure S14. Funnel plot of X allele in power athletes versus endurance athletes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.045 | 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