Innovative Collection and Reporting for Marine Mammal Monitoring, Portsmouth Naval Shipyard Dry Dock 1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Marine projects with potential to harass, or injure, marine mammals typically seek authorization from regulatory agencies to allow for incidental take. Monitoring by trained scientists is usually a requirement of these authorizations. For larger projects, this monitoring can generate significant volumes of data to meet regulatory requirements. If these data are not collected or organized well, a project may experience unnecessary delays, shutdowns, or further consultation with the agencies. The expansion of Dry Dock 1 at the Portsmouth Naval Shipyard in Kittery, Maine, is a multi-year marine construction project requiring compliance monitoring for potential impacts to marine mammals under several authorizations from NOAA Fisheries. Due to the expectation of large volume of compliance data and scrutiny by the agencies, we developed a secure digital interface for standardized data collection and management to maintain permit compliance. Use of our system improved the time required to enter and review data, run queries for status updates, and prepare summary reports to remain in compliance with project permits and authorizations.
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.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it