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Record W1896526158 · doi:10.5376/ijms.2014.04.0009

Dynamic of the Vegetation in the Surrounding Zones of the Coastal Village of Playa Florida, Camagüey, Cuba

2014· article· en· W1896526158 on OpenAlexvenueno aff
Plasencia José Miguel

Bibliographic record

VenueInternational Journal of Marine Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsnot available
Fundersnot available
KeywordsMangroveVegetation (pathology)GeographyPhysical geographyCoastal zoneDigital elevation modelHydrology (agriculture)ForestryRemote sensingGeologyEcology

Abstract

fetched live from OpenAlex

A study about the dynamic of vegetation during the last 50 years was made in the surrounding areas of the coastal village Playa Florida, south coast of the province of Camaguey, Cuba. The information to analyze the changes of the coastal vegetation, considered those located below the lever curve of 5 m, was obtained from 1:50 000 cartographic maps of 1956 and 1977, and a satellite photo of 2010. The covered area for every type of vegetation was calculated using digital cartography tools. It was observed an increase of the mangrove area that includes mangrove, lagoons and herbaceous vegetation up to the tide line. It is explained by the fact of the displacement of the mangrove to the terrestrial zone has been higher that the backward of the coastal line, mainly due to the natural sinking of the marine platform and the erosion produced in the beach by human activity.

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 score0.299
Threshold uncertainty score0.595

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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