SAR, AIS, and Contextual Data for the Identification of Source Mechanisms for Ship Pollution False Positives
Bibliographic record
Abstract
On September 2,2015, a RADARSAT-2 ScanSAR Narrow image was acquired of the Juan de Fuca Strait and the Strait of Georgia, British Colombia, Canada as part of routine ocean-pollution surveillance. The vessel, Coastal Intrigue, and a linear, slick-like feature trailing the stern of the vessel were detected. The source of the CIF was attributed to three possible mechanisms, namely a plankton bloom, turbulent wake, or some type of discharge from the Coastal Intrigue. At the time of the RADARSAT-2 acquisition, there were no reported plankton blooms in the Juan de Fuca Strait or the Strait of Georgia, so a plankton bloom was eliminated as a mechanism. A turbulent wake was also eliminated because turbulent wakes are seldom detected in the area where the Coastal Intrigue was travelling and the vessel Eva, which was travelling on essentially a parallel course as the Coastal Intrigue, did not produce a SAR-detected wake. Therefore, the most likely source-mechanism for the CIF was discharge (either oil or similar) from the Coastal Intrigue. The analysis of the RADARSAT-2 image acquired on September 2, 2015, AIS data, and wind data supports the conclusion that the CIF was from the Coastal Intrigue. There was, however, not enough information available to definitively identify the CIF substance other than the statement that the most likely source was either bilge oil or some other type of substance.
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 | 0.001 | 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 | 0.001 | 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".