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
<i>Rhododendron </i>L. is one of the largest dicotyledonous plant genera in the world, represented by more than 1.000 species, most of which grow naturally in the Northern Hemisphere. Many species and cultivars are also grown commercially, as rhododendrons are widely used in landscaping in many parts of the world due to their overall showy appearance and beautiful flowers. The first written information about these plants dates back to 401 BC and gives information about the toxicity of rhododendron honey. <i>Rhododendron</i> species and their products, such as honey, Labrador tea, edible flowers, and some medicines used in folk medicine, are known to cause poisoning cases due to human consumption. Some rhododendrons are also poisonous to grazing animals. Toxicological studies on <i>Rhododendron</i> species have addressed clinical observations and identified toxic components. <i>Rhododendron</i> and honey poisoning have been reported to be primarily associated with lipid-soluble grayanotoxins. These compounds affect sodium channels in cell membranes and cause a number of neurological, gastrointestinal, and cardiovascular dysfunctions. Grayanotoxins are found all over the plant, including flowers and nectar. Despite their toxic content and effects, rhododendrons and contaminated honey (mad honey) have been used in ancient systems of medicine, such as Traditional Chinese and Ayurvedic Medicines, as well as in European and North American Folk Medicine. However, mad honey is mostly consumed in Nepal and Türkiye as a recreational and traditional medicine. This review aims to present a comprehensive report on the toxicity of the <i>Rhododendron</i> genus after presenting the general botanical and ethnobotanical features.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.004 | 0.000 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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 it