Status of rainbow smelt in U.S. waters of Lake Ontario, 2011
Bibliographic record
Abstract
Rainbow smelt Osmerus mordax are the second most abundant pelagic prey fish in Lake Ontario. The abundance and weight indices for Lake Ontario age-1 and older rainbow smelt declined in 2011 and represented a 64% and 54% decrease respectively from 2010 levels. Length frequency-based age analysis indicated that age-1 rainbow smelt constituted 44% of the estimated population however age 1 abundance was 72% lower than age 1 abundance in 2010 and was 50% lower than the 10 year average age 1 abundance. Proportionally, large rainbow smelt (≥150 mm), were more common in 2011, making up approximately 7% of the population, substantially higher than the 10 year average of 2%. Based on the most recent time series data, rainbow smelt abundance peaks appear to follow a 4-5 year cycle.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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".