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Record W4811979

Species Composition of Bird Communities in Shade Coffee Plantations in the Venezuelan Andes

2023· article· en· W4811979 on OpenAlexfundno aff
Jason Jones, Paolo Ramoni‐Perazzi, Erin H. Carruthers

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaQueen's University
KeywordsGeographyHumanitiesForestryArt
DOInot available

Abstract

fetched live from OpenAlex

Resumen.-Avifauna de cafetales de sombra en los Andes de Venezuela.-Estudiamos la avifauna y las características del hábitat de cafetales de sombra en los Andes venezolanos.Encontramos marcadas diferencias en la composición de especies entre las plantaciones de ambas vertientes de la Cordillera de Mérida.Los cafetales de la vertiente occidental tuvieron una riqueza de especies mayor que aquellos de la vertiente oriental.La frecuencia con la cual las aves usaron el estrato del café varió notoriamente entre los sitios de estudio, lo cual puede reflejar las diferencias en la estructura del paisaje que rodea a los cafetales.Algunos árboles del dosel son elementos importantes del hábitat tanto para las especies residentes como para las migratorias invernales.Dos tercios de las especies registradas durante nuestro estudio fueron observadas usando Erythrina poeppigiana, de las cuales cerca de la mitad fueron observadas explorando activamente y probando flores abiertas

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.204
Teacher spread0.163 · 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".

Quick stats

Citations23
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDigital Commons - University of South Florida (University of South Florida)Same topicSpecies Distribution and Climate ChangeFrench-language works237,207