Lake Sturgeon Assessment Assistance by Great Lakes Commercial Fishers
Bibliographic record
Abstract
Currently there is no commercial fishing for lake sturgeon, (Acipenser fulvescens), in U. S. waters of the Great Lakes and sport fishing is limited. Canada allows commercial harvest from Ontario waters of Lake Huron only. Lake sturgeon is considered threatened or endangered by 19 of the 20 states within its original range in the U.S. Lake sturgeon abundance was reduced dramatically in the late 1800’s by commercial overfishing and habitat degradation. The life history characteristics of lake sturgeon, late maturity and infrequent spawning after maturity, prevent populations from rebounding quickly after such catastrophes. Fishery agencies are providing training and equipment to commercial fishers for data collection from lake sturgeon. Commercial fishers gather biological data and tag lake sturgeon incidentally caught, release the fish, and provide the data to fishery management agencies. This arrangement was initiated in Lake Huron in 1995, and has been expanded to Lakes Michigan, Superior, and Erie. Since 1995, nearly 700 incidentally caught lake sturgeon have been encountered by
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.021 | 0.002 |
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".