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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it