Sediment Profiling of the Nesting Grounds of Horseshoe Crabs at East Peninsular Malaysia
Bibliographic record
Abstract
Horseshoe crabs prefer beaches with loosely packed sediment for the nesting of their eggs. In present study, Sediment profile at the observed the nesting grounds of horseshoe crabs along the east peninsular Malaysian coast were investigated. Two sampling sites (Balok and Pekan) were observed to be the nesting grounds of horseshoe crabs along the Pahang coast, east coast Malaysia. Mean sediment size analysis (ø phi) showed that during the non-monsoon and monsoon seasons, the distribution of sediment at the nesting grounds was mostly were of median sediment (1.88±0.378ø) and finer sediment (2.249±0.114ø) at Balok station respectively. Whereas, the distribution of sediment at the Pekan nesting ground was median sediment (1.073±0.388ø) at non monsoon and coarse sediment (0.641±0.075ø) at monsoon season. The nature of sediments were of moderately well sorted in both the sampling stations. There was no significant difference in sediment size or sorting value during monsoonal cycle. The results clearly showed that the sediment nature at the Balok and Pekan are still conducive for the better nesting of horseshoe crabs.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".