Efficiency of Meat Recovery from Iceland Scallops (Chlamys is/andica) and Sea Scallops (Placopecten 'magellanicus) in the Canadian Offshore Fishery
Bibliographic record
Abstract
The process of removing adductor muscles (meat) through manual shucking of Iceland scallops and sea scallops at sea results in loss of meat yield to the fishing industry. In the study of Iceland scallops, this loss was negatively correlated with shell size and decreased from about 30 % at 60 mm (shell height) to 11 % at 90 mm, with an average loss of 23%. Meat recovery was somewhat more efficient from sea scallops, but paradoxically the loss in yield increased slightly with shell size from 8 % at 60 mm to 10 % at 90 mm. The average loss for commercial-sized sea scallops (~100 mm) was estimated to be 11%. In addition to such factors as experience, speed and shucking habits of the fishermen, relative efficiency of meat extraction from the shells of the two species appears to be related to shell size, tenacity of shell closure and shell morphology (curvature).
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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".