Eugenia salamensis Donnell Smith, Bot. Gaz.
Bibliographic record
Abstract
64. Eugenia salamensis Donnell Smith, Bot. Gaz. 27: 333 (1899) EOO: 769,945.403 km ². AOO: 184 km ². Evaluation of IUCN: Least Concern. Eugenia salamensis has a wide distribution within the Mexican territory, being able to be found from an area more to the north like Sinaloa to the South like Oaxaca, from 5 to 450 m elev. In addition, the species also occurs in Central America having been collected from Guatemala (Smith 1899) to Nicaragua (Barrie 2020, WCSP 2020). The estimated extent of occurrence (EOO) and potentially area of occupancy (AOO) based on the habitat available fairly exceed the thresholds for a threatened category under the criterion B. The most prevalent biome is Seasonally Dry Tropical Forests close to the coast. There are more than 10 known locations, based on the total of 55 collections available throughout the Mexican Pacific coast to Costa Rica. In Mexico, 29 collection records were found in eight states. Therefore, Eugenia salamensis can be classified as Least Concern (LC). Specimens examined:— MEXICO. Colima: McVaugh 15915 (MEXU!); Guerrero: Kruse 1120 (MEXU!); Jalisco: Rzedowski 17737 (MEXU!); Michoacán: H. et al, 16266 (K!); Nayarit: McVaugh & Koelz 725 (MEXU!); Oaxaca: Torres 591 (MEXU!); Sinaloa: Martínez et al. 4023 (MEXU!); Veracruz: Ibarra & Martínez 6141 (MEXU!). Costa Rica: Ulises Chavarría 701 (CR); El Salvador: Witsberger 393 (MICH); Guatemala: Molina R. 23757 (F); Nicaragua: Rueda et al. 17490 (MO).
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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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".