The Role of Geomatics in Decision-Making: Providing Real Value to Canada’s Economy and Society
Bibliographic record
Abstract
This paper describes the development of an event-driven and scalable oil spill monitoring and management system. The system provides functions for managing oil spill information. The system differs from the traditional web-based request/response interaction model. Specifically, advantages of an event-driven system are its abilities to automatically match events with the subscriptions from the clients and push the event information to related clients in real-time when events occur. The event-driven system is also scalable: this means that it can easily be extended to include new functions or to integrate new information services. The system’s middleware spatially processes the rules and algorithms for events and supports real-time data transaction from heterogeneous sources. GISbased analytical information processing modules generate the oil spill monitoring and management output products. Laser fluorosensors are incorporated in order to enhance oil spill detection and surveillance. Other system components include a central repository system, database and a web application interface. 1.
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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 | 0.000 | 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".