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Record W2625926305 · doi:10.5539/mas.v11n7p68

Utilization of Displaced Land of Former Red Stone Excavation for Milkfish Farming by Stick Net Cage System (A Case Study at Gentungan, Gowa Regency, South Sulawesi, Indonesia)

2017· article· en· W2625926305 on OpenAlexvenueno aff
Abdul Haris Sambu

Bibliographic record

VenueModern Applied Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsnot available
Fundersnot available
KeywordsMilkfishCageEnvironmental scienceAgricultureWater qualityFish <Actinopterygii>FisheryGeographyToxicologyEcologyMathematicsBiologyAquacultureArchaeology

Abstract

fetched live from OpenAlex

This study was conducted at Gentungan village, West Bajeng District, Gowa Regency, South Sulawesi Province, Indonesia for four months, i.e., from March to July 2016. The study aimed to (1) determine the feasibility of water quality for nursing at the former land of red stone excavation, (2) analyze the growth rate, and (3) analyze the survival rate. Method used in this study was the stick net cage system which sized 4.0 × 3.0 × 1.5 m, with an average density was 20 fish/m3. The results showed that (1) the measurement and analysis results of water quality during the nursering period were still in the limits of feasibility as presented in Table 1, (2) the analysis results of growth rate were obtained an average growth rate of 117 gram for 160 days, and (3) the survival rate was 86%.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.063
GPT teacher head0.273
Teacher spread0.210 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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