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Record W4392176259 · doi:10.55542/mahseer.v5i2.656

VARIASI PADAT TEBAR TERHADAP PERTUMBUHAN DAN KELANGSUNGAN HIDUP IKAN SERUKAN (Osteochilus kappeni) PADA SYSTEM RESIRKULASI

2023· article· en· W4392176259 on OpenAlexaff
Mu’amar Abdan, Said Samsuli, Sufal Diansyah, Harun Harun

Bibliographic record

VenueMAHSEER Jurnal Ilmu-Ilmu Perairan dan Perikanan · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquatic life and conservation
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsAnimal scienceBiology

Abstract

fetched live from OpenAlex

This study aims to analyze the effect of a recirculation system on seurukan fish (Osteochilus kappeni). The research was conducted at UPR Mina Mandiri, Beutong District, Nagan Raya Regency, from January to April 2022. The research design used was a Completely Randomized Design (CRD) with 3 treatment levels and 4 replications, namely: P1 (6 fish/m3), P2 (12 fish/m3), and P3 (18 fish/m3). The analysis of variance (ANOVA) results showed significant effects in all treatments (P>0.05), with the best results obtained in treatment P1. Duncan's multiple range test revealed significant differences among the treatments. The survival rate of the fish in this study ranged from 91.6% to 100%, the weight growth ranged from 1.9 to 4.4 grams, the length of the fish ranged from 5.7 to 7.2 cm, the feed conversion ratio ranged from 19.8 to 32.1, and the coefficient of variation ranged from 18.0 to 27.5. Keywords: recirculation system, seurukan fish, survival rate, growth

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.212
Teacher spread0.190 · 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.

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
Published2023
Admission routes1
Has abstractyes

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