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Record W7024434258

Species Distribution Modelling of True Frogs (Hylarana erythraea) in Northern Region ofSarawak

2022· other· en· W7024434258 on OpenAlexaboutno aff

Bibliographic record

VenueUnimas Institutional Repository (Universiti Malaysia Sarawak) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatRange (aeronautics)GenusPopulationDistribution (mathematics)Species distributionQuarter (Canadian coin)Environmental niche modelling
DOInot available

Abstract

fetched live from OpenAlex

Hylarana is a member of the Family Ranidae that can be found in Asia, Africa and Australia. This genus is an important indicator of habitat disturbance especially in flooded paddy fields. The study was conducted to identify the current distribution of Hylarana in Northern Sarawak, and to identify the best environmental predictor(s) that influenced the distribution of Hylarana erythraea in Northern Sarawak. Majority of the high suitability area for the H. erythraea lies mostly in disturbed freshwater habitat. Environmental variables that affect the genus of Hylarana distributions are temperature annual range (Bio7), mean temperature of driest quarter (Bio9), and mean temperature of coldest quarter (Bio11). By studying this genus, it can increase our awareness of the condition and distribution range of the genus of Hylarana would help us better understand their population dynamics and make conservation planning more effective.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.192
Teacher spread0.173 · 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 designNot applicable
Domainnot available
GenreOther

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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