Canadian Wildlife Service's Herring Gull Monitoring Program: Importance to the development of environmental policy on organohalogens
Bibliographic record
Abstract
The biological context for the selection of the herring gull (Larus argentatus), from a long list of candidate species, as an indicator of the restoration of Great Lakes water quality is further elaborated. Embryo mortality and deformities in herring gull chicks led to the hypothesis that the Lake Ontario population was exhibiting chick edema disease. Subsequent observation of the suite of lesions associated with chick edema disease in herring gull chicks led to the hypothesis that the Great Lakes were contaminated with polychlorinated dibenzo-p-dioxins. Forensic toxicology, as a collaboration of environmental chemistry, biology and pathology, could form a rational basis for policy decisions about remedial actions to restore extirpated fish and wildlife populations and to protect public health. Key words: indicator, restoration, diagnosis, forensic toxicology, public health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.007 |
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; both teacher heads agree on what is shown here.
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".