Eugenia savannarum Standley & Steyermark, Publ. Field Columb. Mus., Bot. Ser.
Bibliographic record
Abstract
65. Eugenia savannarum Standley & Steyermark, Publ. Field Columb. Mus., Bot. Ser. 23: 132 (1944) EOO: 43,477.326 km ². AOO: 124 km ². Evaluation of IUCN: Least concern. Eugenia savannarum is distributed from the state of Chiapas, Mexico, to Guatemala and Belize (Barrie 2020, WCSP 2020). The estimated extent of occurrence (EOO) exceeds the thresholds for a threatened category under the criterion B, whilst the area of occupancy (AOO) would likely exceed the thresholds of the Endangered category if the remaining habitat available is taken in account. The occurrence biome is the Humid Tropical Forest and the transition ecotone between the Seasonally Dry Tropical Forest and the Temperate Forest from 50 to 920 m elev. There are more than 10 known location based on 47 collections registered in the Mesoamerican region. In Chiapas, Mexico, the species occurs in four regions (Mezcalapa, Selva Lacandona, Los Bosques and Tulijá Tzeltal Chol), in Guatemala most of the collections are in the region of influence of Lake Peten Itza, and in Belize in the Mountain Pine Ridge Forest Reserve and in Noj Kaax H´men Elijio Panti Forest Reserve. The habitat is in a good state of conservation. In this way, Eugenia savannarum is classified here as Least Concern (LC). Specimens examined:— MEXICO. Chiapas: Martínez S. 7044 (MEXU!). Belize: Molina R. 229 (F); Guatemala: Contreras 6113 (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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.154 | 0.081 |
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".