Species Distribution Modelling of True Frogs (Hylarana erythraea) in Northern Region ofSarawak
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".