A Case Study of Hibernia Illustrating the Benefits of AIS Transponders on Oilrigs
Bibliographic record
Abstract
Automatic Identification Systems (AIS) are VHF transponders that continuously transmit detailed information about the vessels on which they are deployed. This information includes the ship's identity, course, destination, cargo, and position. As of the end of 2004, the use of AIS is mandatory for most international vessel traffic. This paper proposes that an AIS transponder be installed on the Hibernia oilrig, that the AIS data received by it be fused with ship tracks from Hibernia's radar systems, and that these fused tracks be forwarded to the Marine Security Operations Centre (MSOC) at TRINITY by satellite communications. It also describes the benefits for Hibernia and Canada's Recognized Maritime Picture, and so makes the case for AIS installations on other offshore platforms. The paper explores two options for ensuring that the track data are forwarded for the foreseeable future: by individual contractual arrangements or by new government regulations requiring the collection of AIS data by oilrigs more generally. The latter would provide permanent, more extensive coverage than individual contractual arrangements could promise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".