Identification of Capsicum species using SNP markers based on high resolution melting analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Single nucleotide polymorphisms (SNPs) derived from both nuclear and cytoplasmic DNA sequences were developed to identify distinct species of Capsicum. Species identification was achieved by detecting allelic variations of these type of markers via high resolution melting analysis (HRM). We used the HRM polymorphisms of COSII markers and the Waxy gene from the nuclear sequence, in addition to the intergenic spacer between trnL and trnF from cytoplasmic DNA as our SNP markers. A total of 31 accessions of Capsicum, representing six species, were analyzed using this method. As single markers were insufficient for identifying Capsicum species, combinations of all markers unambiguously identified all six. A phylogeny based on the SNP markers was consistent with the current taxonomy of Capsicum species. These observations demonstrate that the markers developed in this study are useful for rapid identification of new germplasm for management of Capsicum species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it