Eugenia rubella Lundell, Wrightia
Bibliographic record
Abstract
63. Eugenia rubella Lundell, Wrightia 3: 18 (1961b) EOO: 56,533.444 km ². AOO: 48 km ². Evaluation of IUCN: Least Concern. Eugenia rubella is distributed only in the state of Chiapas, Mexico, and Guatemala (Barrie 2020, WCSP, 2020). The occurrence biome is the Humid Montane Forest, from 950 to 1,550 m elev. The estimated extent of occurrence (EOO) and potentially its area of occupancy (AOO) based on the habitat available, fairly exceed the thresholds for a threatened category under the criterion B. There are more than 10 known locations, considering based on the 16 collections from southern Mexico to Guatemala. In Mexico, only three collection records are known in three different localities in the state of Chiapas (municipalities of Ocozocuatla de Espinoza, Oxchuc and La Trinidad). The conservation status of the tropical forests in that region is under protection by government agencies, and international cooperation has been important for the study and conservation of the tropical forests of the Maya Biosphere Reserve and the Mesoamerican biological corridor. Therefore, Eugenia rubella is rated as Least Concern (LC). Specimens examined:— MEXICO. Chiapas: Stevens & Martínez 25845 (MEXU!). Guatemala: Contreras 9025 (LL).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.013 |
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".