Additional file 1 of Myocytic androgen receptor overexpression does not affect sex differences in adaptation to chronic endurance exercise
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: 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.
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.
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) | 0.813 | 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