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Record W2093599930 · doi:10.1139/z03-004

Life at the interface: ecology of<i>Prionodactylus oshaughnessyi</i>in the western Amazon and comparisons with<i>P. argulus</i>and<i>P. eigenmanni</i>

2003· article· en· W2093599930 on OpenAlexvenueno aff
Laurie J. Vitt, Teresa C. S. Ávila‐Pires, Peter A. Zani, Maria Cristina Espósito, Shawn S. Sartorius

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyEcologyArboreal locomotionPredationSexual dimorphismHabitatAmazonianLizardAmazon rainforestEnergeticsZoology

Abstract

fetched live from OpenAlex

The gymnophthalmid lizard Prionodactylus oshaughnessyi was studied at two Amazonian rain-forest sites. These lizards live at the interface of the terrestrial habitat and arboreal habitat, are active throughout the day at relatively low body temperatures, and maintain body temperatures (29.0 ± 0.34°C) slightly higher than ambient temperatures. Grasshoppers and crickets, roaches, insect larvae, and spiders dominate their carnivorous diet. Sexual size dimorphism is not apparent but differences in coloration and relative head size exist, with males having brighter and more vivid coloration and a relatively larger head. Differences in activity time, prey type, prey size, and microhabitat use exist between populations. A comparison of three species of Prionodactylus from Amazonian rain forest revealed some ecological similarity. However, differences in microhabitat use and diet exist. Differences in Baupläne were consistent with differences in microhabitat use. Dietary overlaps were relatively low; nevertheless, diets of the Prionodactylus species were more similar to each other than expected, based on a null model analysis in which a sampling of all diets was used for comparison.

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 score0.031
Threshold uncertainty score0.061

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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

Citations21
Published2003
Admission routes1
Has abstractyes

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Same venueCanadian Journal of ZoologySame topicAmphibian and Reptile BiologyFrench-language works237,207