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
Until recently, phytohormones were mostly studied separately. However, recent studies have suggested that the signaling pathways involved are highly interconnected. We recently reported the antagonistic effects of salicylic acid (SA) and abscisic acid (ABA) in the lesion mimic mutants, cpr22 and ssi4. After shifting these mutants from high humidity, where the lesion mimic phenotype is suppressed to permissive low humidity condition, both SA and ABA pathways were up-regulated. However, the increased levels of SA were able to block downstream ABA responses even though ABA signaling genes and endogenous ABA were elevated. Furthermore, these lesion mimic mutants displayed a partial ABA insensitivity with respect to germination, guard cell opening, and water loss. This increased water loss in detached mutant plants could also be mimicked by treating wild type plants with SA. An active SA analog, 5-chloro-salicylic acid also induced enhanced water loss, while an inactive analog, 4-hydroxy-benzoic acid, did not. Here, we report that the biological analogs of SA, the systemic acquired resistance (SAR) activators, BTH (benzo-(1,2,3)-thiadiazole-7-carbothioic acid S-methyl ester) and BIT (1,2-benzisothiazol-3(2H)-one1,1-dioxide), did not have the same effect as SA, suggesting that SA may have additional roles to defense, and that SAR activators may not mimic all SA effects.
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) | 0.000 | 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