Mortality and serious injury determinations for baleen whale stocks along the Gulf of Mexico, United States, United States East Coast and Atlantic Canadian Provinces, 2009-2013
Bibliographic record
Abstract
Opportunistic reports were used to measure levels of human - caused serious injury and mortality to baleen whale stocks along the United States east coast and Atlantic Canadian Provinces for 2009 through 2013. Whale injury and mortality events were evaluated using criteria for injury severity and for assigning injuries and mortalities to natural or human causes. The average annual human-caused serious injury and mortality rate during the period was 4.55 for North Atlantic right whales, 9.0 for Gulf of Maine humpback whales, 3.55 for Western North Atlantic fin whales, 0.4 for Nova Scotian sei whales, 7.7 for Canadian East Coast minke whales, 0.2 for Northern Gulf of Mexico Bryde's whales, and 0 for Western North Atlantic blue whales. The number of serious injuries and mortalities not reported is unknown, and actual levels may be much higher.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".