Bibliographic record
Abstract
This “golden cod” (left) from Gilbert Bay, off the coast of Labrador, Canada, is easily recognized by commercial harvesters because of its distinctive “golden” coloration; this fish is technically an Atlantic cod (Gadus morhua), though it is much darker than cod from the adjoining northern population (right). Atlantic cod is a population-rich species, incorporating tremendous intraspecific biodiversity, and is prized by North Atlantic fisheries. The northern cod stock, which collapsed and was placed under a fishing moratorium in 1992, has not recovered owing in part to colder-than-normal ocean temperatures in the Labrador Sea. Remarkably, while northern cod experienced high rates of natural mortality during the 1990s, the Gilbert Bay cod population grew. This golden cod spent its entire life (~17 years) in Gilbert Bay, living 6 months of the year just meters beneath sea ice in sub-zero temperatures. It therefore experienced much colder conditions, and for longer time periods, than other Atlantic cod. During summer, however, golden cod take advantage of the short growth season in the shallow waters that warm quickly within the protection of the bay.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".