Providing Meteorological and Hydrographic Information via AIS Application-Specific Messages
Bibliographic record
Abstract
AIS Application-Specific Messages (ASMs) transmitted in binary format are increasingly used to digitally communicate maritime safety/security information between participating vessels and shore stations. This includes time-sensitive metrological and hydrographic (met/hydro) information that is critical for safe vessel transits and efficient ports/waterways management. IMO recently published a new Safety-of-Navigation Circular (SN.1./Circ.289) that includes a number of meteorological and hydrographic message applications and data parameters. IMO also issued general guidance for the presentation/display of ASMs (SN.1/Circ.290). This includes specific mention of conforming to the e-Navigation concept-of-operation. For any new IHO S-57 or S-100-related product specifications dealing with dynamic met/hydro information, IHO Member States should use the same data content fields and parameters that are specified by IMO. This will enable the provision to time-critical information via existing communications infrastructure, in a standard data format that can be displayed on existing shipborne equipment/systems (e.g., ECDIS). Presenter Bio Lee Alexander is a Research Associate Professor at the Center for Coastal and Ocean Mapping and Joint Hydrographic Center at the University of New Hampshire, and an Adjunct Professor at the University of New Brunswick (Canada). Previously a Research Scientist with the U.S. Coast Guard, he was also a Visiting Scientist with the Canadian Hydrographic Service. His area of expertise is applied RDT&E on electronic charting, international standards development, and the use of electronic charts for safety-of-navigation and marine environmental protection. He serves on several international committees/working groups dealing with electronic charting, including the International Hydrographic Organization, the International Electrotechnical Commission, and the International Association of Lighthouse Authorities. He Chairs the Harmonization Group on Marine Information Overlays (MIOs). He has published over 100 papers and reports on electronic chart-related technologies, and is a co-author of a textbook on Electronic Charting. Lee received his M.S. from the University of New Hampshire, and Ph.D. from Yale University in Natural Resource Management. He is also a Captain (now retired) in the U.S. Navy Reserve.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.089 | 0.059 |
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".