New data on deep-water corals and large sponges from bottom trawl groundfish surveys in the NAFO Regulatory Area (Divs. 3LMNO): 2011-2013 period
Bibliographic record
Abstract
New data on deep-water corals and sponges are presented based on Spanish/EU and Canadian bottom \ntrawl groundfish surveys for the period 2011-2013 in order to make these data available to the NAFO \nWGESA and improve the mapping of sensitive species in the NAFO Regulatory area (Divs. 3LMNO). \n“Significant” catches (according to the NAFO definition from groundfish surveys) of deep-water corals \nand sponges are provided and mapped together with the areas closed in 2010. Most of the significant \ncatches of sponges (78.6%) are inside of the closed areas, meanwhile for corals the results are different \naccording to the group considered. For large gorgonians the 87.5% are outside, for sea pens the 75% and for \nall small gorgonians the significant catches recorded are outside of the closed areas
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".