Changes to Survey Indices and Implications for Assessment of Spiny Dogfish (Squalus acanthias) in the Northwest Atlantic
Bibliographic record
Abstract
Spiny Dogfish in NAFO areas 2–6 are considered to be one stock, with the greatest concentration of the population in US territorial waters. The main index of abundance used for assessment by the US and Canada derives from the National Marine Fisheries Service (NMFS) Spring trawl survey, where a new vessel with new monitoring protocols has been used in recent years. This document provides information on the data that will be used to assess Spiny Dogfish in Part II of a new Assessment Framework. It includes summaries of commercial catch and survey abundance indices relative to the dogfish stock definition. Also, it provides a comprehensive evaluation of factors that may influence dogfish catchability and discusses their effects to the NMFS Spring survey and their implications for population assessment. Differences in catchability owing to survey vessel, sampling strata, dogfish life stage, sex, day/night patterns, and combinations thereof were explored. A calibration approach specific to life stage is proposed to relate catches from the new survey vessel to the older one, and this results in a more biologically realistic trend in the abundance index for recent years. This calibrated index of stratified abundance at length will be compared using a split uncalibrated series in the stage-based population dynamics model in Part II of the Framework. Other changes to the structure of the assessment model suggested by the data were the need to incorporate sex-specific sampling error for the survey catches and to make process error proportional to the realized level of sampling in influential strata for Spiny Dogfish along the outer slope.
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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 | 0.021 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".