Integrase diversity and transcription of the maize retrotransposon<i>Grande</i>
Bibliographic record
Abstract
Grande is an abundant gypsy-like retrotransposon present in the genera Zea and Tripsacum. Related retro transposon families can be found in sorghum, rice, and barley, but not in wheat or rye. We have amplified and sequenced several copies of part of the integrase domain derived from the Zea mays, Zea diploperennis, and Tripsacum dactyloides genomes. There are no significant differences in divergence or clustering between the integrase sequences of these species. The substitution rate for synonimous sites was found to be higher than those of non-synomymous sites; this indicates that Grande integrase has been under purifying selection for function. Grande is transcribed in leaves. The transcripts show sequence diversity similar to that of genomic sequences, but belong to restricted clades; this indicates that only some evolutionary branches of Grande have retained transcriptional competence.
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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 | 0.001 | 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) | 0.001 | 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".