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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 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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
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; 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

Citations5
Published2014
Admission routes1
Has abstractyes

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