Additional file 1 of Myocytic androgen receptor overexpression does not affect sex differences in adaptation to chronic endurance exercise
Bibliographic record
Abstract
Additional file 1: Table S1. Supplemental statistics for exclusion criteria of exercising females. Table S2. Supplemental LMER ANOVA statistics for Fig. 2. Table S3. Supplemental post hoc Bonferroni-corrected t-test statistics for Fig. 2. Table S4. Supplemental ANOVA statistics for Figs. 1A and 3A–D in TA. Table S5. Supplemental post hoc Tukey HSD statistics for Fig. 1A and 3C in TA. Table S6. Supplemental ANOVA statistics for Fig. 3E–H in SOL. Table S7. Supplemental ANOVA statistics for Fig. 4B, C in EDL. Table S8. Supplemental post hoc Tukey HSD statistics for Fig. 4B in EDL. Table S9. Supplemental ANOVA Statistics for Fig. 4D, E in EDL. Table S10. Supplemental Pearson correlation statistics for Fig. 5. Figure S1. Quantification of western blot analysis of nuclear respiratory factor 2 (NRF-2) in TA. Figure S2. Quantification of western blot analysis of nuclear respiratory factor 2 (NRF-2) in SOL. Figure S3. Glycolytic (SDH−) and oxidative (SDH+) myofiber count proportions across EDL and the effects of sex, HSAAR genotype, or endurance exercise on their distribution.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.880 | 0.198 |
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".