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Record W6912889444 · doi:10.5281/zenodo.7621649

Eugenia savannarum Standley & Steyermark, Publ. Field Columb. Mus., Bot. Ser.

2023· article· en· W6912889444 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsEcotoneBiomeThreatened speciesRidgeHabitatEndangered speciesGallery forestOccupancyTemperate forestTemperate rainforest

Abstract

fetched live from OpenAlex

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).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.014

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.

Opus teacher head0.043
GPT teacher head0.232
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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