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
ABSTRACT The decision process that generates oil spill response objectives, strategies and tactics at regional and site-specific scales is a form of risk management. Typically this decision process involves an analysis of the probabilities and consequences of events and the selection of actions to achieve the defined objective(s). Coastal marine, lake and river oil spills frequently are the more difficult ones to manage due to the dynamics and complexity of the environment in terms of physical processes, ecosystem variability and sensitivity, and human use activities. The development of a systematic approach to decision-making is intended to address and reduce the complexity of these issues. This can be achieved by the identification of the elemental components of a response operation in terms of four phases: preplanning; reactive response; planned response; and the completion and monitoring response phase. The framework of the decision process within each of the three response phases is a logical and systematic sequence of nine integrated steps. This discussion explains the purpose and actions that are involved in each step and the manner in which the different components relate to each other.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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