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Record W1498311934 · doi:10.5772/23735

Waterbird Biodiversity and Conservation Threats in Coastal Ecuador and the Galapagos Islands

2011· book-chapter· en· W1498311934 on OpenAlexaff
Juan José, Ben Haase

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsThreatened speciesIUCN Red ListConvention on Biological DiversityBiodiversityGeographyEndangered speciesNear-threatened speciesContext (archaeology)Extinction (optical mineralogy)Habitat destructionCritically endangeredConservation-dependent speciesFisheryEcologyHabitatBiology

Abstract

fetched live from OpenAlex

Waterbird Biodiversity and Conservation Threats in Coastal Ecuador and the Galapagos Islands 273Gulf is located at 3ºS of Ecuador and it goes 204 km from north to south, and enters a distance of 130 km.This estuary is located on the edge of the Guayas River and the city of Guayaquil.It is part of the Guayas Ecosystem, a large tropical area covering the Gulf of Guayaquil, the Guayas River Basin, the Guayas River Estuary and the city of Guayaquil.This ecosystem is home to 45% of the national human population, and articulates 12 provinces and 88 municipalities.Several watersheds drainage into the Guayas River Basin, including a vast geographical area with a hydrological system of 34 000 km 2 , which captures the effluents coming from the Daule, Vinces and Babahoyo rivers.The Guayas River Estuary begins on at the Puná Island, across the Jambelí and Del Morro channels, and extends as far as the influence of the tide and salinity, which ends about 100 km within the continent at the confluence of the Daule and Babahoyo rivers.The depth of The Guayas River Estuary ranges from 20 to 180 m.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.017

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 studies0.0000.000
Scholarly communication0.0010.001
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 head0.021
GPT teacher head0.194
Teacher spread0.173 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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