Additional file 1 of Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms
Bibliographic record
Abstract
Additional file 1: Table S1. Summary of the phenotypic records used in this study before data editing and quality control. Table S2. Selection of the fixed effects, covariates, and random effects included in the final mixed animal models. Table S3. Standard errors of variance components estimates based on the homogenous (RNM1) and heterogeneous (RNM2) residuals. Table S4. Spearman’s rank correlations of genomic estimated breeding values across three representative environmental gradients. Table S5. Genomic windows with the significantly explained variances and associated candidate genes for the four traits without clear G × E interaction. Table S6. Related quantitative trait loci (QTL) within relevant genomic regions for the four traits without clear G × E interaction. Table S7. Accuracies and reliabilities of genomic estimated breeding values for all animals. Table S8. Sample sizes and accuracies used for calculating the approximate genetic correlations (weighted Pearson coefficients). Table S9. Detailed information for the candidate genes found in this study.
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 | 0.002 | 0.013 |
| 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 | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.874 | 0.186 |
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".