Growth Performance of Archachatina Marginata Bred on the Substrate Amended with Industrial Calcium: Mikhart
Bibliographic record
Abstract
This study aims to improve growth and meat production of snail Archachatina marginata bred on substrates amended with Mikhart an industrial source of calcium. Spats of approximately one week old were reared for 80 weeks on six types of substrates amended with Mikhart at different doses (0, 5, 10, 20, 30 and 40%). During the rearing period, snails were individually weighed and measured every two weeks. At the end of the breeding period, proportions of the different parts (tissue and shell) have been determined. The best growth weight (0.64 g/d) and shell production (0.28 mm/d) were recorded on the substrate containing 30% of the calcium source (Mikhart). There is an improvement in the snails' growth rate with an increase in Mikhart rate in the culture substrate until a Mikhart incorporation 30% beyond which a decrease of both growth and meat production are observed. In addition, the mortality rate decreased with the augmentation on the calcium content of the substrate.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".