COMPUTATIONAL SCREENING TO IDENTIFY GENES INVOLVED IN DNA REPAIR IN ARABIDOPSIS THALIANA
Bibliographic record
Abstract
The repair of damaged DNA is an essential function for living organisms. While great strides have been made in understanding this process in animal and yeast models, our knowledge in plant DNA repair is not as developed. Plants face many sources of DNA damage which they cannot so easily avoid: UV radiation from sunlight, reactive oxygen species produced endogenously by their mitochondria and chloroplasts, reactive oxygen species accumulated while under conditions of cold, heat, or salt stress. Understanding plant DNA repair is particularly relevant as the accumulation of DNA damage can negatively impact the growth and yield of agronomically important species. In this study, a broad classification of genes related to DNA repair in the model dicot Arabidopsis thaliana was conducted using gene ontology and gene enrichment analysis. The results of this broad classification serve to elucidate pathways for further study in plant DNA damage response and repair.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".