Additional file 1 of The distribution of bioactive gibberellins along peach annual shoots is closely associated with PpGA20ox and PpGA2ox expression profiles
Bibliographic record
Abstract
Additional file 1: Figure S1. Verification of PpKO gene structure using the alignment results of reads obtained from the transcriptome of peach flowers, stems, fruits and pits. Figure S2. Sequence alignment of GA20ox from Arabidopsis and peach. The LPWKET motif are underlined. Figure S3. The phylogenetic trees of CPS (A), KS (B), KO (C), KAO (D) and GA3ox (E). The amino acid sequences were downloaded from Phytozome database and the Gene ID are listed after the gene name. Figure S4. qPCR analysis of transgenic lines. Two transgenic lines of PpGA20ox1 (A) and -2 (B) in ga20ox mutant (CS92956) of Arabidopsis. Three transgenic lines of PpGA20ox1 (C) and -2 (D) in Arabidopsis (Ecotype Columbia). Two lines of PpGA3ox1 (E) in Arabidopsis (Ecotype Columbia). Two lines of PpGA2ox6 in Nicotiana tabacum. Figure S5. Overexpression of PpGA20ox5 in Arabidopsis. Table S1. Sequence of genes involved in GA biosynthesis of peach. Table S2. List of primers used 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.426 | 0.120 |
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".