Lake Ontario Spring (April) Prey Fish Bottom Trawl Survey, 1978-2025
Bibliographic record
Abstract
This data release includes Lake Ontario fish data from the April or spring prey fish bottom trawl survey, conducted by multiple agencies from 1978 through 2025.This survey goal is to quantify the relative abundance and population dynamics of prey or forage fishes, and in particular Alewife (Alosa pseudoharengus), which inform fisheries managers that decide on Lake Ontario predator fish stocking levels. This survey and associated data are also used to quantify the status of native fishes of conservation concern. Data tables describe the vessel and trawl operations, number and weight of species caught, relative abundance, size structure, and age interpretations. Data from 1978 - 2015 are from surveys covering only U.S. waters of Lake Ontario while survey data from 2016 - 2025 include both U.S. and Canadian waters of Lake Ontario. The data set also includes hydroacoustic prey fish density estimates for portions of the water not sampled by the bottom trawl (2021-2025). Details about the vessel and gear descriptions, sampling protocols, and catch processing protocols are provided in the metadata.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.001 |
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".