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Record W6950183676 · doi:10.5281/zenodo.6762156

Artibeus toltecus

2019· article· en· W6950183676 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubspeciesDorsumArtibeusSnoutCoat

Abstract

fetched live from OpenAlex

201. Toltec Fruit-eating Bat Artibeus toltecus French: Dermanure tolteque / German: Tolteken-Fruchtvampir / Spanish: Artibeo tolteca Taxonomy. Stenoderma tolteca [sic] Saussure, 1860, “ Mexique [= Mexicol.” Restricted by P. Hershkovitz in 1949 to Mirador, Veracruz, Mexico. Artibeus toltecus 1s placed in Dermanura by some authors but was reassigned to Artibeus (subgenus Dermanura) according to reinterpretation of molecular results. Some authors included Dermanura rava as a South American species of A. toltecus, but it is a distinct species. Two subspecies recognized. Subspecies and Distribution. A. t. toltecus Saussure, 18360 — from NE Mexico (Nuevo Leon and Tamaulipas) S to C & E Guatemala, W Belize, W Honduras, NC Nicaragua, Costa Rica, and Panama. A. t. hesperus W. B. Davis, 1969 — from NW Mexico (Sinaloa and Durango) S to S Guatemala, El Salvador, SW Honduras, and SW Nicaragua (Ometepe I). Descriptive notes. Head-body 51-63 mm (tailless), ear 1-19 mm, hindfoot 8-12 mm, forearm 37-6—42-3 mm; weight 15-20 g. Dorsal fur of the Toltec Fruit-eating Bat is dark gray-brown to blackish; hairs are 6-8 mm long. Dorsal color gradual darkens from north to south in the distribution. Facial stripes are narrow, not marked, or faint. Ears and noseleaftare moderated in size, without yellowish or whitish rim along margins. Ventral fur is paler gray-brown, and tips of hairs are frosted. Tail membrane is short (8-9 mm), U-shaped, and lightly haired, with sparse fringe; tail is absent. Legs and feet are sparsely haired. The Aztec Fruit-eating Bat (A. aztecus) 1s similar to the Toltec Fruiteating Bat, but it is larger and has a well-haired fringe on the uropatagium. Dental formula is 12/2. Cl/1,P 2/2, M 2/2:(x2) =28. Habitat. Tropical and temperate forests, mountain cloud forests, perennial and deciduous tropical forests along Pacific and Gulf coastal lowlands, evergreen forests, and fruit groves and plantations, most commonly at elevations of 600-1500 m. Food and Feeding. The Toltec Fruit-eating Bat eats fruits, particularly from Solanum (Solanaceae), Ficus (Moraceae), Cecropia (Urticaceae), and Piper (Piperaceae). In Monteverde, Costa Rica, field data indicate that it feeds on Solanum spp., Eugenia acapulcensis (Myrtaceae), Ficus spp., and 14 other plants species. Breeding. Reproductive pattern of the Toltec Fruiteating Bat is bimodal polyestry, with birth periods in August-September and April-June. Pregnant females have been reported in January—-October and lactating females in January, May, andJune-September. Young learn to fly in August-September. In Monteverde, there are lactating peaks that coincide with maximum fruit production. Activity patterns. The Toltec Fruit-eating Bat is nocturnal. In south-eastern Mexico, captures were correlated with monthly precipitation, which might be correlated with fruit abundance in tropical and subtropical areas. It roosts in caves,cavities, buildings, foliage, and bat-made tents. Only tents in Anthurium caperatum (Araceae) have been reported, but banana leaves might be used. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Least Concern on The IUCN Red List (as Dermanura tolteca). Bibliography. Andersen (1908c), Davis (1969), Dinerstein (1986), Garcia-Garcia et al. (2010), Handley (1987), Hershkovitz (1949), LaVal & Rodriguez-Herrera (2002), Rodriguez-Herrera et al. (2007), Timm (1987), Webster & Jones (1982b).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.019

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 head0.029
GPT teacher head0.210
Teacher spread0.181 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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