Kootenai River Fisheries Investigation : Stock Status of Burbot : Project Progress Report 2008 Annual Report.
Bibliographic record
Abstract
Objectives of this investigation were to (1) monitor the population status and recruitment of burbot Lota lota in the Kootenai River, Idaho and British Columbia, Canada during the winter of 2006-2007; (2) evaluate the selective withdrawal system in place at Libby Dam to maintain the river temperature near Bonners Ferry between 1-4 C (November-December) to improve burbot migration and spawning activity; and (3) determine if a hatching success of 10% of eyed burbot embryos could be achieved through extensive rearing and produce fingerlings averaging 9.8 cm in six months. Water temperature did not fall below the upper limit (4 C) until mid-January but was usually maintained between 1-4 C January through February and was acceptable. Snowpack was characterized by a 101% of normal January runoff forecast. Adult burbot were sampled with hoop nets and slat traps. Only three burbot were captured in hoop nets, all at Ambush Rock (rkm 244.5). No burbot were caught in either slat traps or juvenile sampling gear, indicating the population is nearly extirpated. Burbot catch per unit effort in hoop nets was 0.003 fish/net d. Extensive rearing was moved to a smaller private pond and will be reported in the 2008-2009 annual report.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.005 | 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".