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
Hormones are chemical substances that can affect many cellular and developmental processes at low concentrations. Plant hormones co-ordinate growth and development at almost all stages of the plant's life cycle by integrating endogenous signals and environmental cues. Much debate in hormone biology revolves around specificity and redundancy of hormone signalling. Genetic and molecular studies have shown that these small molecules can affect a given process through a signalling pathway that is specific for each hormone. However, classical physiological and genetic studies have also demonstrated that the same biological process can be regulated by many hormones through independent pathways (co-regulation) or shared pathways (cross-talk or cross-regulation). Interactions between hormone pathways are spatiotemporally controlled and thus can vary depending on the stage of development or the organ being considered. In this chapter we discuss interactions between abscisic acid, gibberellic acid and ethylene in the regulation of seed germination as an example of hormone cross-talk. We also consider hormone interactions in response to environmental signals, in particular light and temperature. We focus our discussion on the model plant Arabidopsis thaliana.
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) | 0.001 | 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 | 0.001 | 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