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Record W4318815972 · doi:10.33772/jsl.v7i3.28644

KONDISI TERUMBU KARANG DAN KOMUNITAS IKAN PADA AREA PENCADANGAN KAWASAN KONSERVASI DAERAH (KKD) WATUPUTE, KABUPATEN KOLAKA UTARA

2022· article· en· W4318815972 on OpenAlexaff
Subhan Subhan, Anung Wijaya, Ishaq Warsandi, La Ode Musni, Baso Amrullah, Jupri Jupri, Indri Maharani Tenriabeng, Muhammad Ahmi Husein

Bibliographic record

VenueJurnal Sapa Laut (Jurnal Ilmu Kelautan) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsReefFisheryCoral reefBelt transectMarine protected areaTransectCoral reef fishGeographyFish <Actinopterygii>Biomass (ecology)CoralEnvironmental scienceOceanographyEcologyBiologyAbundance (ecology)HabitatGeology

Abstract

fetched live from OpenAlex

Data and information about the coral reefs' condition and fish are essential in planning a marine protected area (MPA). This study aims to provide an overview of the condition of coral reefs and the community structure of reef fish in terms of species distribution, density, and biomass in the Watupute waters – Kolaka Regency. The Point Intercept Transect is used to collect data on the condition of coral reefs and the underwater visual census for observing reef fish communities. The condition of the corals in the Watupute reserve area is generally moderate. Regarding the presence of reef fish communities, areas with higher live coral cover had higher density, number of species, size, and biomass. This area is reasonable to be recommended as a core zone in the design of MPA zonation.Keywords: coral reef, reef fish, marine protected area

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.203
Teacher spread0.192 · 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
Published2022
Admission routes1
Has abstractyes

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