Safety and Efficacy Assessment of Medicinal and Aromatic Plants Derived Products. A Qualitative Research
Bibliographic record
Abstract
The complexity of medicinal and aromatic plants products makes difficult to asses their safety and efficacy. A qualitative research method, called hybrid forum has been used in order to better understand the risks and benefits of those products, from the perspective of three key components: the manufacturing process, from raw material to the finished product, safety and quality assurance, consumers’ perception and biomedical context. The discussion forum took place in November 2019 in Cluj-Napoca and it was organized in two parts: the first addressed to researchers and actors in the field (14 stakeholders) and the second to the general public (23 participants). Critical points and limitations in the field of products obtained from medicinal and aromatic plants have been identified by both the specialists (poor cooperation between actors; lack of monitoring of product quality; increase self-medication), and the general public (difficulties in making informed choices; reluctance to pharmacists’ advice).
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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 | 0.030 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".