Morphometrics Studies on Females <i>Anopheles arabiensis</i> Patton (Diptera: Culicidae) from Kassala State, Eastern Sudan
Bibliographic record
Abstract
Anopheles arabiensis Patton (1905) is the most important malaria vector in Sudan. A morphometric analysis was carried out to characterize the morphology of adult females An. arabiensis and to test the existence of morphological variations among local populationsof females An. arabiensis found in eastern Sudan.Adult females An. arabiensis were collected from four sites in Kassala State, eastern Sudan (Kassala, New Halfa, Aroma and Wager). In addition, An. arabiensis specimens, obtained from Sennar laboratory colony were also used in the study. Collection of females An. arabiensis mosquitoes was done by hand capture during the rainy season 2008. Thirty seven morphological characters were examined on samples representing each of the collection sites. One Way ANOVA testshowed significant differences in most of the measured characters on females An. arabiensis . Principal component analysis showed that the populations studied differed mainly in the body size of mosquito. A discriminant function analysis was used, based on the new variables generated by principal component analysis, to select an aggregate of morphological characters which collectively could differentiate local populations of females An. arabiensis and to assess the reliability associated with multivariate statistics. Using the body size measurements, the analysis revealed that geographical clustering of field collected females An. arabiensis populations were not clear and the body size characters had little discrimination values. The cluster analysis summarized the phylogenetic relationships among the different populations of An. arabiensis according to their mean body sizes . Laboratory colony samples had a smaller body size compared to the field collected ones. The morphometric analysis confirmed the existence of some geographical variations in the mosquito body size among local populations of An. arabiensis in eastern Sudan.
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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".