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Record W4406078408 · doi:10.31849/forestra.v19i2.17830

Keanekaragaman Hayati dan Peranannya Dalam Ekosistem di Taman Kehati Tanggulangin

2024· article· en· W4406078408 on OpenAlexaff
Nanda Satya Nugraha, Rawana Rawana, Agus Prijono, Wilda Nur Rohmah, Puan Abigail Arroyo Pasaribu, Dian Pratama Putra, Kurdiyanto Kurdiyanto

Bibliographic record

VenueWahana Forestra Jurnal Kehutanan · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Tanggulangin Biodiversity Park is a biodiversity conservation area outside the forest area with an area of 14 Ha located in Tuban Regency, East Java Province, which is a stretch of karst mountain ecoregion where this ecosystem also has an essential element as a water resource buffer area for Tuban Regency. Biodiversity measured in this research includes Flora; vegetation and fauna; aves (birds), herpetofauna (reptiles and amphibians) and insects (Lepidoptera and Odonata) where the method used in sampling flora uses the census method and the method used in sampling fauna uses the Visual Encounter Survey and Point Count methods. The results of the research showed that the Diversity Index (H') value for vegetation was 2.142 with a Richness Index (R) of 4.670, for aves the H' value was 2.474 and the R value was 0.856 for herpetofauna, the H' value was 2.168 and the R value was 0.872 for insects. The H' value is 1.962 and the R value is 0.944. Overall, the Biodiversity Value of Tanggulangin Biodiversity Park is included in the medium diversity level category.

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 score0.017
Threshold uncertainty score0.058

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.011
GPT teacher head0.204
Teacher spread0.193 · 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
Published2024
Admission routes1
Has abstractyes

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