Evaluation of Some Morphological Characteristics of Several Genotypes of Capsicum Plant (Capsicum annuum L.) in northwestern Syria
Bibliographic record
Abstract
For protect biodiversity and preserve local genetic types, the research was carried out to evaluate some morphological traits of several locally types from Capsicum annuum Plant (Qarn-Aljamous, Qarn-Alghazal, Haskuria, Long-Mutabasha, Short-Mutabasha, Safrania, and Harimia) of Idlib Governorate in northwestern Syria for the agricultural season 2022. The morphological characterization was carried out by applying 20 qualitative characterizations that included the characteristics of plants, flowers, fruits and seeds. The distinctive qualitative morphological characteristics were the nature of the flower growth, the shape of the fruit, the appearance or absence of the base of the fruit, and the wavy cross-section of the fruit. Morphological characterization results of the studied types, based on some morphological characteristics, showed that there is a difference between these types, especially in the character of the nature of flower growth and fruit traits. The results of the cluster analysis also showed that the studied models were distributed into two groups: the first included (Long-Mutabasha, Short-Mutabasha, Safrania, and Qarn-Aljamous) and the second included (Qarn-Alghazal, Haskuria, and Harmia
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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 | 0.001 |
| 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) | 0.001 | 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".