Spawning success of introduced sea lampreys, Petromyzon marinus, in two streams tributary to Lake Ontario
Bibliographic record
Abstract
The proportion of introduced sea lampreys that remained in two streams at the time of spawning was estimated. Over two years, 1088 sea lampreys were introduced into the two streams. The estimated population remaining at the time of spawning was reduced to 624. The population was reduced by mortality (6% to 30%), predation (1% to 11%), and emigration (1% to 9%), which agrees with the estimate made using the Petersen mark/recapture experiment. Both male and female sea lampreys displayed limited fidelity to both the pair bond and the nest. Multiple spawning in established nests was found throughout the spawning season in both years in Port Britain Creek and in 1999 in Grafton Creek. The estimated number of female sea lampreys necessary for the estimated egg deposition was low in both streams and in both years, ranging from 2 to 20, based on back calculation from the number of eggs in located nests. Pre-spawning mortality occurred in both streams and in both years and several females with high egg retention (post spawning) were found in both years. For the female sea lampreys collected in the streams during the spawning period, Fulton's somatic condition factor (K) was found to be significantly higher (mean = 0.249) for those sea lampreys that spawned compared to those that died without spawning (mean = 0.192).
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".