Replication data for: Unraveling FHB resistance: Mycotoxin dynamics in winter wheat recombinant inbred lines
Bibliographic record
Abstract
This study aimed to showcase variation for Fusarium head blight (FHB) resistance components within two recombinant inbred line (RIL) populations. We then examined the relationships between deoxynivalenol (DON), Fusarium damaged kernels (FDK), and Fusarium head blight (FHB) index for inbred lines in each population. Finally, two methods for estimating DON content in grain samples were compared, to determine the correlation between the estimates. We hypothesize that there will be a strong relationship between resistance components and DON content in the grain estimated using either enzyme-linked immunosorbent assay (ELISA) or fast-chromatography tandem mass spectrometry (FC-MS/MS) methods. This study provided insights into the relationship between phenotypic components of FHB resistance and highlights the variation between DON measurement protocols.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.054 |
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".