<scp>GeoSimulations</scp> in <scp>4D</scp> : Multi‐Dimensional Agent‐Based Model for Representing Dynamics of Southern Resident Killer Whales
Bibliographic record
Abstract
ABSTRACT The Southern Resident killer whales (SRKW) are an endangered species that occupy marine environments on the west coast of North America, including the Salish Sea. Representing marine species in this environment can be achieved by multidimensional space–time simulation modeling that provides more information about locations and behaviors for use in protection and preservation strategies. In this study, the main objectives are: (a) design and implement a prototype four‐dimensional (4D) agent‐based model (ABM) to simulate marine species, (b) implement the model to represent SRKW's J Pod in the Salish Sea, and (c) investigate their 3D movements considering bathymetry, vessel noise, and prey–predator relationships with Chinook salmon. The simulation results indicate the SRKW are often present around the San Juan Islands, and the model locations correlate with real data on reported sightings, prey availability, and low vessel noise. The developed methodology can be used to further inform and improve marine conservation and management practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".