Use of inshore benthic cages for storage and on-growing of adult lobsters Homarus americanus
Bibliographic record
Abstract
The goals of this research project were to determine if it is feasible to hold adult lobsters Homarus americanus in inshore benthic cages for extended periods. The underlying premise is that they would survive and grow. This larger product could then be sold outside of the regular season for a higher price. In the first experimental chapter, I investigated the use of the serum protein concentration (determined from the refractive index) as an indicator of the quality and physiological condition of adult lobsters. Serum protein concentration increased linearly with hepatopancreas mass, heart mass and edible meat content. There was a concomitant decrease in serum protein concentration with increasing moisture content of the hepatopancreas and muscle tissue. The serum protein concentration also changed over the molt cycle reaching its highest levels in the premolt stage followed by a sharp drop after the lobsters had molted. This rapid and non-invasive method is a valuable tool for determining quality and physiological status of commercially important decapod crustaceans. In the second series of experiments, I recorded the survival, molting, growth rates and serum protein concentrations in cage-held adult lobsters over a six month period. Laboratory experiments allowed parameters, such as water temperature, feed type, feeding frequency and cage size, to be manipulated to determine optimal conditions for survival and growth, while field experiments tested the feasibility of the storage and on-growing protocol. Temperature had a significant effect on molting rates, with a greater percentage of lobsters molting at higher temperatures. Feeding frequency influenced growth rates of both molted and non-molted animals. Animals with limited access to food had lower serum protein concentrations and were of poorer quality. This project showed that benthic cages provide a viable method to store lobsters for up to six months allowing harvesters to sell them locally, outside the regular season.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".