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Record W1947728551 · doi:10.5376/ija.2013.03.0014

Correlation Between Mangrove and Aquaculture Production: Case Study in Sinjai District, Sulawesi, Indonesia

2013· article· en· W1947728551 on OpenAlexvenueno aff

Bibliographic record

VenueInternational Journal of Aquaculture · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMangroveAquacultureFisheryProduction (economics)GeographyBiologyFish <Actinopterygii>Economics

Abstract

fetched live from OpenAlex

Mangrove ecosystem generally accepted as nursery ground of variety if ahrimp and fish fries. The study has three objectives, namely to analyze the correlation (1) between mangrove percent ratio and primary product aquaculture, (2) between mangrove percent ratio and secondary product aquaculture, and (3) between direct benefit value mangrove ecosystem and coastal fisheries production. The research was carried out in Samataring village and Tongke village in East Sinjaisub-district, Sinjai district. Trend of fisheries data both from capture and aquaculture were analyzed, then compared with purposive sampling interview. Correlation and regression analysis were used to generate equations. The results of this research are as follows: (1) the correlation between mangrove ratio percentage and increased primary aquaculture produce negatively correlates and results in an equation of y=0.091x+8.800 with R 2 =0.99, (2) mangrove ratio percentage and increased secondary aquaculture produce are positively correlated and results in an equation of y=0.016x+0.239 with R 2 =0.99, and (3) Mangrove ecosystem direct benefit value and increased coastal catch produce positively correlate and result in an equation of y=0.485x-0.347 with R 2 =0.99.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.007
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.008
GPT teacher head0.240
Teacher spread0.231 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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