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Record W6932008598 · doi:10.5281/zenodo.7621646

Eugenia salamensis Donnell Smith, Bot. Gaz.

2023· article· en· W6932008598 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSensory Analysis and Statistical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsThreatened speciesBiomeHabitatTropical and subtropical dry broadleaf forestsOccupancyRainforest

Abstract

fetched live from OpenAlex

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).

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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.014

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 head0.076
GPT teacher head0.267
Teacher spread0.191 · 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