Canadian Field-Naturalist: The Greenland cod (Gadus ogac) in Cape Breton Island, Nova Scotia.
Bibliographic record
Abstract
The Bras d'Or “Lakes” are actually a complex estuary occupying the central part of Cape Breton Island, Nova Scotia. Measuring 1,200 km2 in surface area and 13 km3 in volume, it consists of four basins, running in a northeast-southwest direction, separated by a series of low mountains, and connected by narrow channels, including two that open to the NE Atlantic ocean. An article describing observations of Greenland cod (Gadus ogac) in the Bras d'Or Lakes was published in the Canadian Field-Naturalist (Scott 1952). Species distribution information associated with this article were digitized, standardized and republished by OBIS Canada as part of the Atlantic Coastal Zone Information Steering Committee (ACZISC) Atlantic Ecosystem Initiative (AEI) funded project “Atlantic Canada’s Biological Data for Ecosystem Planning and Decision-making” and OBIS Canada. This resource contains counts of adult female cod captured during two line trawls in May of 1948 and June of 1949. These observations extended the southern distribution range of this species as known at the time that the article was published.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.018 |
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".