Restoring endangered Northern Abalone (Haliotis kamtschatkana) populations in British Columbia, Canada, using hatchery-raised individuals
Bibliographic record
Abstract
This study investigated the effectiveness of using hatchery-raised northern abalone (Haliotis kamtschatkana) to supplement wild populations in Barkley Sound, BC. Densities of abalone were assessed at sites outplanted by the Bamfield Huu-ay-aht Community Abalone Project, and all fell at or below the suspected Allee threshold. The potential for improving outplanting success was then examined by releasing both larval and juvenile hatchery-reared individuals at different treatment densities and tracking their survival over time using cohort analyses and mark-recapture methods, respectively. Predators represented the major source of mortality for outplanted abalone and congregated at outplant sites. Tagging, handling, and temperature stress did not result directly in mortality. Juvenile abalone were particularly vulnerable in the first 24 hours after outplanting, experiencing 64 % mortality during that period. The behaviours of hatchery-raised abalone differed from those of wild individuals. I recommend outplanting 50,000 larvae/m2 or groups of 100 juveniles in predator exclosure cages.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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 teacher head, 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".