Simple sequence repeats in<i>Cucumis</i>mapping and map merging
Bibliographic record
Abstract
Thirty-four polymorphic simple-sequence repeats (SSRs) were evaluated for length polymorphism in melon (Cucumis melo L.) and cucumber (Cucumis sativus L.). SSR markers were located on three melon maps (18 on the map of 'Vedrantais' and PI 161375, 23 on the map of 'Piel de Sapo' and PI 161375, and 16 on the map of PI 414723 and 'Dulce'). In addition, 14 of the markers were located on the cucumber map of GY14 and PI 183967. SSRs proved to be randomly distributed throughout the melon and cucumber genomes. Mapping of the SSRs in the different maps led to the cross-identification of seven linkage groups in all melon maps. In addition, nine SSRs were common to both melon and cucumber maps. The potential of SSR markers as anchor points for melon-map merging and for comparative mapping with cucumber was demonstrated.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".