Cinnamon and Cassia Nomenclature Confusion: A Challenge to the Applicability of Clinical Data
Bibliographic record
Abstract
Several Cinnamomum species' barks are generally labeled as cinnamon, although only Cinnamomum verum carries the common name of true cinnamon. Cassia, a common name for a related species, is rarely used on labels; instead, various cassia types may also be labeled "cinnamon." Confusion of true cinnamon and cassia spices in foods generally does not present a risk to health, except possibly at the highest intake levels. However, clinical studies with Cinnamomum investigational products have been published that inadequately describe or lack botanical identification information. The results of such studies are confounded by an inability to determine which species was responsible for the observed effects. Due to differences in the quality and composition of various Cinnamomum species, safety and efficacy data are not generalizable or transferable. Pharmacopeial monographs for characterizing the identity, composition, purity, quality, and strength of Cinnamomum investigational products should be applied to remove the ambiguity of cinnamon.
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.
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 | 0.021 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".