Financial Feasibility of Producing Value-Added Seafood from Shrimp Waste in Quebec
Bibliographic record
Abstract
Shrimp waste disposal represents a financial and environmental cost to processors and society. There have been successful biotechnology experiments in producing certain value-added marketable consumer products from shrimp waste. This study reports on the economics of that process and its commercial viability in Quebec. Discounted cash flow methods (NPV, IRR) and the payback period criteria were employed to conduct investment analysis in a technology that transforms shrimp processing waste into value-added surimi-shrimp nuggets.The planned extension was estimated to cost $4.3 M in capital investments and can process an estimated 5,000 mt of shrimp nuggets per year at $2.62/kg. If the plant operates at full capacity (5,400 hours per year) for 10 years, it will recover initial outlay and interest payments in 2.3 years with a net present value of $6.9 M and an internal rate of return of 43%. The expected values of net present value, internal rate of return and the payback period for the project, given varying output levels, were $3.27 M, 26% and 3.9 years, respectively.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".