Environmental DNA survey of Calvert Island, British Columbia, 2021
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
This data package contains molecular resources derived from a large DNA-based survey of marine biodiversity carried out around Calvert Island, British Columbia, in 2021. During this survey we collected triplicate seawater samples from 208 sites across a marine region roughly 100km2 in scale, focussed on nearshore habitats of kelp, seagrass, and rocky reefs. All samples were collected adjacent to the substrate using a niskin bottle, filtered using 0.22μm sterivex filters, and the resulting environmental DNA was used for amplicon sequencing to infer the communities of fish (12S rRNA gene) and invertebrates (COI) at each location. These data are part of a larger collaboration between researchers from McGill University, Fisheries and Oceans Canada, and the Hakai Institute, with the goal of optimizing the use of environmental DNA for monitoring Canada’s network of Marine Protected Areas.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it