Pengaruh Derajat Keasaman (pH) Air Laut Terhadap Konsentrasi Kalsium dan Laju Pertumbuhan H A L I M E D A SP
Bibliographic record
Abstract
Ocean acidification afected marine organisms especially calcifying organisms, such as Halimeda sp. This study was conducted on June to September 2012 at laboratory of Research Center and Development for Marine, Coastal and Small Islands, Hasanuddin University. The aim of study to determine the efect of acidic level on Calcium concentration and growth rate of calcifying macroalgae, Halimeda sp. The experiment design was used completely random design with three treatments and three replicates. Analysis variance was used for data analysis with advanced respon test. Tukey test was used to compare the diference between treatments. Water quality parameters were analyzed descriptively. The results showed that there was a significant diference of pH treatments on calcium concentration an d growth rate of Halimeda sp. The highest calcium concentration was found at pH 8. In conclusion, increasing pH level of media disturbed the calcifying process of Halimeda sp especially at pH level of 6, while growth rate of Halimeda sp was not afected wit h the decreasing of pH.
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 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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".