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Record W1681655498 · doi:10.21829/azm.2014.30382

Escolitinos y platipodinos (Coleoptera: Curculionidae) atraídos a trampas tipo NTP-80 en Zapotitlán de las Salinas, Puebla, México

2014· article· es· W1681655498 on OpenAlexaff
Roberto Quezada‐García, Esteban Jiménez-Sánchez, Armando Equihua-Martínez, Jorge Padilla-Ramírez

Bibliographic record

VenueACTA ZOOLÓGICA MEXICANA (N S ) · 2014
Typearticle
Languagees
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsUniversité LavalMinistère des Ressources naturelles et des ForêtsCentre de Géomatique du Québec
Fundersnot available
KeywordsCurculionidaeGeographyForestryEcologyBiology

Abstract

fetched live from OpenAlex

Se realizó el estudio de fauna de la escolitinos y platipodinos en una zona semiárida de Zapotitlán de las Salinas, Puebla, México. Se realizaron muestreos mensuales durante un año, de abril de 1998 a marzo de 1999, empleando trampas de tipo NTP-80 cebadas con calamar. El líquido conservador compuesto de ácido acético y alcohol, sirvió como atrayente para estos grupos. Las trampas fueron distribuidas en cinco localidades (cactáceas columnares, mezquital de terrazas, mezquital ribereño, mezquital no fragmentado y una vegetación no alterada). Se capturaron 328 individuos, cinco especies de Scolytinae y una de Platypodinae. Se registraron por primera vez para el estado de Puebla a Premnobius cavipennis Eichhoff, 1878, Xyleborus posticus Eichhoff, 1869, Monarthrum pennatum Wood y Bright, 1992 y Euplatypus parallelus (Fabricius, 1801). La mayor abundancia y riqueza de especies fue observada en el mezquital ribereño y la presencia de estos grupos de Curculionidae de forma abundante al final de la época de lluvias, lo que podría estar asociado con la disponibilidad de recursos en tiempo y espacio. Este estudio contribuye de manera importante al conocimiento de los escolitinos y platipodinos del estado de Puebla, México.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.005

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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 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

Citations5
Published2014
Admission routes1
Has abstractyes

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