The Influence of Substrate to Larval Settlement of the Tropical Abalone (Haliotis asinina)
Bibliographic record
Abstract
Larval settlement stage of abalone (Haliotis asinine) depends on availability of feed and substrate compatibility. Existing feed size and feed type diversity in substrate will affect larval settlement stage, feeding habit and survival rate of abalone larvae. This study aims to find out the most suitable substrate for larval settlement of the tropical abalone. It is conducted in February-April, 2013 at Brackish Water Aquaculture Center, Takalar Regency, South Sulawesi. Applied experimental design is Completely Randomized Design. There are 3 types of test substrate: coral, cement and plastic with 3 replications for each substrate. This study shows that statistically, substrate differences do not affect to larval settlement stage. The highest stage of larval settlement is to coral substrate by 3.3%, followed by cement and plastic by 2.2% and 0.2% respectively. The highest average stage of living larva on coral and cement substrate are 15.3%, while on plastic substrate is 8.7%.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".