Retrieval and small correction system for sailing directions using the Internet
Bibliographic record
Abstract
In this paper, we propose an automatic retrieval and small correction system for Japanese Sailing Directions using the Internet. There are two kinds of retrieval methods. One is the retrieval with a keyword, and the other is retrieval with ship's sailing route. The system is easily able to materialize automatic small corrections, for example revisions and additions for new navigational information. In the database of main body are divided many files. They have file names and ID. The ID is number of date and time. If there is different ID between own ship's database and the Maritime Safety Agency's one, the system execute automatically small corrections comparing with their names and ID under operation of the Internet. The programs of the system are composed Java applets, and they are easy to work in the Internet under httpd operation. These technologies are useful for LAN construction within a future ship. If the Maritime Safety Agencies in the world offer the HTML database and tables by using CD-ROM, our proposal system is made practicable as soon as possible.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".