Coral recruitment enhancement in fish shelter media composed of fly ash and nickel slag on Obi Island, South Halmahera
Bibliographic record
Abstract
The reefcube, a modular structure, serves as a primary habitat for fish and aids in the recruitment of new coral. The reefcube is predominantly made from fly ash and nickel slag, by-products of pyrometallurgy process that contain high content of CaO, MgO, dan SiO2. These compounds aid in the calcification process of newly recruited corals. This project has been conducted since 2021, which includes deployment processes, monitoring, and data collection. The data collection methods involve randomly sampling natural coral recruits that have grown on the modular structures and measured periodicaly. So far, the coral growth ranged from 2.41 cm to 12.90 cm over the course of two years. The observed genera include Acropora, Isopora, Pocillopora, Millepora, Porites, and all of which have shown significant growth on the Reefcube. There were 24 fish families recorded during the monitoring period, with the Pomacentridae family accounting for 53% of all sightings. The most commonly observed size range was between 0-5 cm and 16-20 cm, which represented 29% and 28% of the total observations. Within this size range from Pomacentridae and Acanturidae family. Several individuals of the species Abudefduf vaigiensis from the Pomacentridae family were notably present.Keywords:Coral reef ecosystemFish shelterGrowthNickle slagReefcube
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".