Bibliographic record
Abstract
Wetlands are threatened by invasive species worldwide through vectors of aquaculture and aquarium activity. While maritime shipping has received most of the attention for invasive species control, shipping represents a mobile, transitory source of invasion, unlike aquaculture, and aquarium activities that occur in public wetlands. The public wetlands invasive species problem is modeled to compare incentives for one or all users of the public wetlands to reduce the threat of invasive species from aquaculture and aquarium trade activities. The incentives for individual versus coordinated behavior are examined, along with the conditions for all wetland users to select preemptive effort to reduce the invasive species threat. There is great potential for an environmental bond in the lease arrangements to foster preemptive effort to reduce invasive species in wetlands. Partout dans le monde, les zones humides sont menacées par des espèces envahissantes introduites par l’aquaculture et l’aquariophilie. Bien que le contrôle des espèces envahissantes ait surtout visé le transport maritime, il demeure que ce dernier constitue une source d’invasion mobile et transitoire contrairement aux activités d’aquaculture et d’aquariophilie qui se déroulent dans les zones humides situées sur des terres publiques. Nous avons élaboré un modèle qui représente le problème des espèces envahissantes dans les zones humides sur des terres publiques afin de comparer les stimulants individuels et les stimulants collectifs qui visent à réduire la menace que posent les espèces envahissantes issues de l’aquaculture et de l’aquariophilie. Nous avons examiné les stimulants qui favorisent un comportement individuel ou un comportement coordonné, de même que les conditions qui motiveraient tous les utilisateurs de zones humides à choisir les efforts préventifs pour réduire la menace que posent les espèces envahissantes. La possibilité d’inclure une obligation environnementale dans les contrats de location afin d’encourager les efforts préventifs pour réduire les espèces envahissantes dans les zones humides est grande.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".