Size, muscle metabolic capacities and escape response behaviour in the giant scallop
Bibliographic record
Abstract
Placopecten magellanicus start their lives as free-living veligers, then become byssally attached juveniles, mobile young adults and finally generally sedentary large adults. Although biomechanical considerations help explain this size dependence of swimming activity, the patterns of muscle use and the physiological capacities of the adductor muscle could change with size. Measurements of in vivo force production (in 2004) and muscle metabolic capacities (in 2008) were used to assess how P. magellanicus (les-de-la-Madeleine, 4723' N, 6152' W) of 30 to 98 mm in shell height (SH) use the adductor muscle during escape responses. Principal components analysis of escape response behaviours revealed that parameters associated with endurance and phasic contraction frequency were associated on the first 2 axes, whereas measures of force production were linked on the third axis. Individual scores from the first and third principal components showed a significant size dependence, with values first increasing and then decreasing with SH. Scallop size influenced escape response endurance, clap numbers and force production in a similar fashion. These metrics of muscle use generally peaked at SH ~70 mm. Physiological attributes, including muscle enzymatic activities and phosphoarginine content, peaked at SH ~60 mm. Although the gonadosomatic index increased with size, it did not explain the scaling of escape response behaviours or muscle metabolic capacities. Ecological considerations, particularly predation risk, may explain this allometric pattern.
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 | 0.000 |
| 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".