Bibliographic record
Abstract
This study was done to examine the effect of several diets (Phytoplankton = PHY, Shellfish Diet 1800 = INS, Oil type = OTE, Powder type = PTE) on growth, survival rate and biochemical composition of scallop juvenile Patinopecten yessoensis. The highest survival rate were observed in PTE + PHY (90%). The highest shell length and shell height was observed in PHY and PTE + PHY diet (P > 0.05). The growth with PTE and OTE diet was the lowest in shell length and shell height (P < 0.05). On the other hand, the shell width and meat weight were highest in PHY and PTE + PHY, while the lowest in PTE and OTE (P < 0.05). The content of fatty acids such as DHA and n-3 PUFA levels was significantly higher in the juvenile fed on PTE + PHY than in those fed on PHY and INS alone. Also, the total protein ranged 55.5 to 65.2% in PHY + INS, while 44.8%, 47.9% in PTE and OTE respectively. The RNA and DNA contents were the highest in PHY and PTE + PHY, while the lowest in PTE and OTE (P < 0.05). RNA/DNA ratio significantly higher in juvenile with PHY + INS than those with PTE and OTE alone (P < 0.05). The combination of PTE + PHY could improve the growth and survival of scallop juvenile. Our results suggested that PTE could partially replace live algae in bivalve laval rearing.
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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 | 0.000 |
| 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".