SWFSC Marine Mammal Survey, CLAWS 2015, Cruise 1648
Bibliographic record
Abstract
Original provider: NOAA Southwest Fisheries Science Center (SWFSC) Dataset credits: NOAA Southwest Fisheries Science Center (SWFSC) Abstract: In 2015, NOAA Fisheries Southwest Fisheries Science Center (SWFSC) undertook a Collaborative Large Whale Survey (CLaWS) from 9 July through 9 November aboard NOAA Ship Reuben Lasker. The survey was a collaborative effort between SWFSC and NOAA Fisheries Alaska Fisheries Science Center. The study was conducted in U.S. and Canadian waters of the eastern North Pacific (ENP) between the Aleutian Islands, Alaska, and San Diego, California (Fig. 1). The survey was separated into five legs, ranging from 15 to 25 days. The fourth leg of the survey occurred in Canadian Pacific coastal waters between 28 September and 22 October and was a collaborative effort with Dr. John Ford of the Cetacean Research Program, Pacific Biological Station, Fisheries and Oceans Canada.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.039 |
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".