Micrographic characteristics of eleven medicinal plants used for the traditional treatment of schistosomiasis in the health district of Adzope (Cote dIvoire)
Bibliographic record
Abstract
The objective of this study is to describe the micrographic characteristics of 11 medicinal plants used in the traditional care of schistosomiasis in the Health District of Adzopé (Côte d'Ivoire). These species were selected on the basis of their heritage value. The methodology is based on a microscopic description of the plant powders after observation under the microscope. Micrography allowed the identification of characteristic elements, such as fragments of parenchyma, calcium oxalate crystal, wood vessels as well as hairs (secretory, tectorial and star-shaped). The observation of these elements makes it possible to distinguish each plant powder and thus contribute to the definition of the quality of the powders in case of adulteration.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".