Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: III: Fish of the 2009 Survey
Bibliographic record
Abstract
During 2007–10, Canada’s Department of Fisheries and Oceans conducted four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a large submarine canyon incised into the Scotian Shelf, east of Sable Island, the core of which has been within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. From the 2008 survey, the trawls were fitted with rigid (“aquarium”) codends and successfully took a number of delicate specimens in exceptional condition. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014). Catches of the abundance- or biomass-dominant fish species have been published by Thompson and Kenchington (2016) and Kenchington et al. (2018, 2020a). The ceratioid anglerfishes have been published by Kenchington et al. (2020b) and DNA barcodes derived from selected specimens by Kenchington et al. (2017). Identification of fish specimens is ongoing (in 2022), while damage in the nets means that not all can be identified to species. It is, nevertheless, sure that specimens from in excess of 240 fish species were captured. Many of those have rarely been seen and most had never been photographed in fresh condition. Thus, a variety of camera systems were taken to sea on the surveys and an attempt made to create images of every species captured. The resulting collection has been catalogued and lightly edited, while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions, though some copies subsequently edited for publication have been added. Because of file-size limits, the present collection includes only the 498 catalogued images of fish specimens from the 2009 survey, together with a copy of the entire catalogue of fish images. Individual files are uniquely numbered (from F09001 to F09498), with corresponding entries in the catalogue. The latter presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned. All images © His Majesty the King in Right of Canada, 2022. Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Specimen identifications at sea and most of those ashore were by Daphne Themelis, while Merlin Best and Andrew Cogswell captured the images at sea.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.016 | 0.005 |
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".