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Record W1782208912 · doi:10.5376/ijms.2014.04.0020

Hydrometeorological Parameters and Space Temporal Variation of Hydrological Parameters in Guacanayabo´s Gulf, Cuba, Relation to Pink Shrimp (<i>Farfantepenaeus notialis</i>) Catches Decrease

2014· article· en· W1782208912 on OpenAlexvenueno aff
Artiles Adriana

Bibliographic record

VenueInternational Journal of Marine Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHydrometeorologyShrimpVariation (astronomy)Environmental scienceFisheryRelation (database)OceanographyGeographyGeologyBiologyMeteorologyComputer sciencePhysicsPrecipitation

Abstract

fetched live from OpenAlex

The hydrological parameters of Guacanayabo’s gulf are described. Monitoring campaigns were made in 2008-2009 period, with a total of 11 expeditions: three of them in spring (April/May 2008 and May 2009), five in summer (June/July/August 2008 and June/July 2009) and three in autumn (September/November 2008 and October 2009). Samples were taken in situ at both surface and bottom to monitoring water temperature ( ? ), salinity (psu), dissolved oxygen (mg/L) and chemical oxygen demand (COD).The aim of this study is to analyze hydrological conditions variations and its possible influence in decrease of shrimp catches of Farfantepenaeus notialis in Guacanayabo’s Gulf . The results show the influence of climatic seasonality (dry and rain) in spatial distribution and seasonality of hydrological parameters. In general, seasonal and annual means are considered of GOOD quality, following Cuban Standardization NC-25 (1999) for fishing use. Although not statistical comparison was made, there are slight changes in salinity and higher tendency of decrease of dissolved oxygen when compared with the literature reported values for previous decades. The dissolved oxygen was the most variable marker, which suggests that in this system, there is an alteration, mainly in water oxygenation and that had an impact in the abundance decrease of the pink shrimp in Guacanayabo´s Gulf. No other considerable hydrological change seems to influence the general abundance of the fishing resource in the Gulf. However, the spatial differences that exist between the South and the North region do influence it.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.240
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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 teacher head, 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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