Bottom trawl positions from European Union-Spanish research bottom trawl surveys on the NAFO Regulatory Area (NW Atlantic)
Bibliographic record
Abstract
The bottom trawl positions from European Union-Spanish research bottom trawl groundfish surveys carried out for the period 2002-2013 on the NAFO Regulatory Area (Divs. 3LMNO) and biomass of some Vulnerable Marine Ecosystem indicator taxa, that is sponges, sea pens, large and small gorgonian corals, are presented in this document. These data combined with similar Canadian data available from the Ocean Biogeographic Information System (OBIS) were used in the PLOS ONE publication “Kernel Density Surface Modelling as a Means to Identify Significant Concentrations of Vulnerable Marine Ecosystem Indicators” by Kenchington et al. (2014). These surveys are carried out annually and their main objective is the estimation of abundance and biomass indices of the main commercial demersal fish species, and the demographic structure of their populations. Other scientific goals are to carry out trophic studies; collect information on the spatial and bathymetric distribution of megabenthic invertebrates; and the study of the hydrographical conditions in the area. Since 2003, all surveys were run on the Spanish research vessel Vizconde de Eza, using a random-stratified sampling design with standardized 30-minutes bottom trawls and vessel speed around 3 knots. A Campelen 1800 bottom trawl gear with some modifications was used in the Spanish 3NO and 3L Surveys, whereas a Lofoten bottom trawl gear was used in the EU Flemish Cap Survey. Reference Kenchington, E., F.J. Murillo, C. Lirette, M. Sacau, M. Koen-Alonso, A. Kenny, N. Ollerhead, V. Wareham and L. Beazley. 2014. Kernel density surface modelling as a means to identify significant concentrations of vulnerable marine ecosystem indicators. PLOS ONE (under production).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 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) | 0.007 | 0.002 |
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".