Surfactant Associated Bacteria in the Sea Surface Microlayer: Case Studies in the Straits of Florida and the Gulf of Mexico
Bibliographic record
Abstract
Certain genera of bacteria found in the near-surface layer of the ocean can be involved in the production and decay of surface active materials (surfactants), resulting in slicks on the sea surface. Slicks can be observed with airborne or satellite-based synthetic aperture radar (SAR). Here, we report results, which point to a connection between the presence of surfactant-producing bacteria in the upper layer of the ocean and slicks, observed visually and in SAR imagery of the sea surface. From DNA analysis of in situ samples taken during RADARSAT-2 satellite overpass in the Straits of Florida during the 2010 Deepwater Horizon oil spill, we found a higher abundance of known surfactant-producing bacteria in the slick as compared to the non-slick area; furthermore, a higher abundance of these bacteria were observed in the water column as compared to those taken from the sea surface. Surfactants produced by marine bacteria in the organic matter-rich water column can then be transported to the sea surface through diffusion or advection. Within a certain range of wind-wave conditions, the organic materials (such as dissolved oil) in the water column processed by surfactant associated bacteria can thus be monitored with high resolution remote sensing techniques.
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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 | 0.003 | 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 | 0.000 | 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".