The study of pattern-triggered immunity in Arabidopsis
Bibliographic record
Abstract
The initial stage of plant defence against pathogen challenge is dependent on the perception of microbe-associated molecular patterns (MAMPs) by cognate pattern recognition receptors (PRRs), leading to a basal plant immune response referred to as pattern-triggered immunity (PTI). This early and broad-based defence is a very active area of research, in part because it represents an excellent route to improving crop performance. As more MAMPs and PRRs are identified, mainly in the model species Arabidopsis thaliana, there is a related increased interest in easier and faster assays to accurately measure subtle immune alterations. The development of novel assays, and improvements to established ones, has made high-throughput screening of plant immunity possible. The study of immune responses on various time-scales, and their reliance on various signalling cascades, has led to a more nuanced understanding of the molecular mechanisms involved in the many processes that collectively form the innate immune response. The increased understanding of these processes presents novel routes for crop improvement through modulation of plant immunity.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".