Benthic Marine Sponges Collected from Baffin Bay, North Labrador Sea, and Davis Strait aboard the CCGS Amundsen 2015 to 2017 as part of ArcticNet HiBio Project
Bibliographic record
Abstract
Sponges were sampled from multiple sites in the Northeast Atlantic from multiple cruises aboard the CCGS Amundsen. Benthic sponges were obtained through Box cores, Agassiz trawls, and through targeted sampling using the SuMO ROV. Sponges were photographed on board and in-situ when possible (using ROV camera). Collected sponges were retained for taxonomic analysis. Whole or portions of each collected sponge were preserved in 96% ethanol to prevent DNA degradation. Larger sponge fragments were frozen on board. Collected sponges are to be subsampled for morphology-based taxonomy (analysis of spicule structure and body form), and for molecular taxonomy through extraction and amplification of cytochrome oxidase subunit I (COI) mitochondrial DNA fragments for DNA barcoding. In total, 112 separate sponges were sampled during the 2015/2016 leg from depths ranging between 80-1148 metres and encompassing latitudes 60°18N to 68°15N. 31 specimens were collected using the ROV and therefore have associated in-situ video imagery which will aid in species identifications and descriptions. In total, 48 separate sponges were sampled during the 2017 leg from depths between 84 - 875 metres and encompassing latitudes 62°34N to 78°19N. Nine specimens were collected using the ROV and therefore have associated in-situ video imagery which will aid in species identifications and descriptions. In-situ videos are not included in the dataset but will be made available upon request. See Links to data section for contact.
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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 | 0.003 | 0.003 |
| 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) | 0.002 | 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".