Respiration rates of the filter feeding bivalve Argopecten purpuratus (Lamarck, 1819) in Paracas Bay, Peru.
Bibliographic record
Abstract
In order to evaluate seasonal changes in respiration rates of the Peruvian scallop Argopecten purpuratus, oxygen consumption was measured in situ for three ranges of sizes (R1: 30 - 40mm, R2: 45 - 55mm and R3: 80 - 90 mm) in Atenas beach (Paracas Bay) during February, March and August 2007. Four to six acrylic chambers connected to submersible pumps were installed to set an opened/closed recirculating system. Once the scallops were acclimated, initial water samples were taken with the opened recirculation system, after that, the closed recirculating system was set and one hour later final samples were taken. Respiration rates (mg 02 h-1) appeared to be directly related with size of individuals as its shown in the August results, with values of 0.810, 1.677 and 4.480 for R1, R2 and R3 respectively. Results also showed significant differences (P<0.05) between March and August for the three range of sizes showing the influence of seasonal changes on the respiration of the scallops. Correlation analysis shows a positive relation between respiration rates with size (r=0.548) and respiration rates with weight (r=0.671). There was also a positive correlation between respiration rates and temperature (r=0.442). An inverse correlation was observed between oxygen concentration and the respiration rate (r=-0.471).
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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) | 0.001 | 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".