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Record W4378881500 · doi:10.59763/mam.aeq.v4i.53

Riqueza, abundancia relativa y patrones de actividad de mamíferos medianos y grandes en el Bosque Protector Cerro Blanco (Guayas, Ecuador)

2022· article· es· W4378881500 on OpenAlexaff
Jaime A. Salas, I. Benjamín Navas, María Belén Merchán, Jordan Medranda-Benavides, Cindy M. Hurtado

Bibliographic record

VenueMammalia aequatorialis · 2022
Typearticle
Languagees
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeographyHumanitiesArt

Abstract

fetched live from OpenAlex

The study of large and medium-sized mammals based on systematic methodologies and standardized techniques have covered few localities in the province of Guayas, a region characterized by accelerated urbanization, as is the case for Bosque Protector Cerro Blanco. Our objective was to assess the richness, relative abundance, and activity patterns of large and medium-sized mammals in this reserve. During seven months, from March to September 2019, we established 17 camera-trap stations and estimated the Relative Abundance Index (RAI) and activity patterns of the species recorded. With a sampling effort of 2937 camera-days and 1931 independent photographic events of mammals, we recorded 16 native species and one introduced (Canis lupus familiaris); species as Dasyprocta punctata and Procyon cancrivorus presented higher RAI; four species were categorized as diurnal, six as nocturnal, and two as cathemeral. Also, we recorded two endangered species through camera-traps: Alouatta palliata and Cebus aequatorialis. We recommend maintaining continuous and systematic monitoring in this reserve to understand the effects of defaunation and introduced species on native mammal species.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.241
Teacher spread0.232 · 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 teacher head, not a consensus.

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".

Quick stats

Citations11
Published2022
Admission routes1
Has abstractyes

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