First observation of the use of coral habitat by larval northern rockfish (Sebastes polyspinis) in the western Gulf of Alaska
Bibliographic record
Abstract
The role of deepwater corals and sponges in the life history of fish species is generally unknown for the larval stage.In 2017, we deployed an autonomous plankton pump into deepwater coral habitat (depths: >50 m) to examine which species were present and captured a single rockfish larva.Using genetic methods, we identified the larva as a northern rockfish (Sebastes polyspinis).The unique capture of a freeswimming larva with a plankton pump in this study is the first in situ record of the use of deepwater coral habitat by rockfish larvae.Subsequent reexamination of coral specimens captured in bottom-trawl surveys that had been conducted in the Gulf of Alaska yielded an additional 10 northern rockfish larvae and a single harlequin rockfish (S. variegatus) larva lodged in the polyps of 2 species of deepwater coral.The results of this study improve our knowledge of the early life history of rockfish species, a taxonomic group that has limited lifetime dispersal indicated by a high degree of population structure.The capture and identification of the larva also indicate a potential mechanism for larval retention in the area of their extrusion and highlight the further importance of deepwater coral habitat as essential habitat for rockfish species.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".