Additional file 1 of Physiological and comparative transcriptome analyses reveal the mechanisms underlying waterlogging tolerance in a rapeseed anthocyanin-more mutant
Bibliographic record
Abstract
Additional file 1: Figure S1. The phenotypes of seedlings after 8 day of recovery growth following waterlogging for 0, 12, 24 and 36 h. Bars = 1 cm. Figure S2. Sequencing randomness analysis of the waterlogging-treatment and control groups in both the WT and am mutant. Figure S3. Schematic diagram of the expression level saturation distribution curve. Figure S4. Schematic diagram of the correlations between samples. Figure S5. The MA and volcano plots of gene expression in (a) amCK-vs-amWL and (b) Z11CK-vs-Z11WL. "Z11CK-vs-Z11WL" indicates waterlogging-treated WT compared with the untreated WT, and "amCK-vs-amWL" indicates waterlogging-treated am mutant compared with the untreated am mutant. Figure S6. Co-expression clustering showing the expression profile of DEGs in WT (a) and am mutant (b). The X-axis represents with or without waterlogging treatment. The Y-axis represents the value of the relative expression level [log10 (FPKM + 1)].
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.801 | 0.161 |
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".