Environment Canada SCAT Manual 3rd Edition: What’s New in SCAT?
Bibliographic record
Abstract
Abstract The Shoreline Cleanup Assessment Technique (SCAT) is an accepted concept for the description and documentation of oiled shorelines. The field data provide systematic, science-based information that is evaluated by a spill management team as they decide on appropriate shoreline response priorities, treatment techniques, and treatment completion end points. The process is flexible and adaptable for spill responses of different scales and in the full range of Canadian coastal environments. The Third Edition of the Environment and Climate Change Canada (ECCC) SCAT Manual provides a current (2016) best practice guide for Canadian shorelinesthat, with appropriate environmental modifications, can be applied globally. The purpose of the revised SCAT Manual is to provide advice and guidance as a shoreline assessment survey program and a field and data management plan are developed for each unique spill situation. The Manual is organized to describe the key elements of:the organization and management of SCAT programs;field SCAT data collection strategies and techniques;SCAT data management and post-field information processing; andthe recommendations and decisions that depend on the SCAT field data. The Appendices include a Field Job Aid, which presents standard SCAT shoreline and oiling terms and definitions and a set of standard field data forms that may be used to document shoreline oiling, and a Management Job Aid to assist with management, planning, and logistics.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".