Additional file 1 of Combined transcriptome and metabolome analysis of Nerium indicum L. elaborates the key pathways that are activated in response to witches’ broom disease
Bibliographic record
Abstract
Additional file 1: Supplementary Table 1. Summary of transcriptome sequencing of infected and non-infected Nerium indicum L. tissues. Supplementary Table 2. Differential expression of genes between infected (NOWP) and non-infected (NOHP) N. indicum phloem. Supplementary Table 3. Differential expression of genes between infected (NOWS) and non-infected (NOHS) N. indicum stem. Supplementary Table 4. List of differentially expressed genes that were enriched in specific pathways in WBD infected N. indicum phloem (NOWP) and stem tip (NOWS) as compared to controls i.e., NOHP and NOHS, respectively. Supplementary Table 5. Details of the differentially accumulated metabolites between infected (NOWP) and non-infected (NOHP) N. indicum phloem. Supplementary Table 6. Details of the differentially accumulated metabolites between infected (NOWS) and non-infected (NOHS) N. indicum stem tip. Supplementary Table 7. Pathway specific differential accumulation of metabolites in infected N. indicum phloem and stem as compared to non-infected tissues.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.256 | 0.082 |
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".