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Record W2607283115 · doi:10.21199/wb48.1.1

REVIEW OF THE AVIFAUNA OF THE TRES MARÍAS ISLANDS, MEXICO, INCLUDING NEW AND NOTEWORTHY RECORDS

2017· article· en· W2607283115 on OpenAlexfundno aff
Héctor Gómez de Silva, Mónica G. Pérez Villafaña, Javier Cruz Nieto, Juan Cruzado Cortés, R. A. B. Hamilton, Santiago Vásquez Vásquez, M. A. Nieto

Bibliographic record

VenueWestern Birds · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersUniversity of British ColumbiaVanderbilt UniversitySmithsonian Institution
KeywordsGeographyEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

We summarize the bird species known from the Tres Marías Islands, off the coast of Nayarit, western Mexico, tabulating the sources for the occurrence of each species by island. We report records of 48 species new to the archipelago and/or specific islands on the basis of our field work since 2002 and a review of published literature, museum specimens, and others’ observations. These bring the number of species known from the Tres Marías Islands to 176, of which 5 represent introductions and about 46 others are known or likely to breed; about 24 of the 46 represent endemic subspecies. All resident species recorded historically still survive on at least one of the islands. In spite of our recent field work, the precise status of many species by island remains to be clarified.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.009
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.270
Teacher spread0.243 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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