The First Marine Observation Network System:Neptune Canada Submarine Observation Technology
Bibliographic record
Abstract
Neptune Canada is the first marine observation network system.It is to cover the Juan de Faca Plate of the whole northeast Pacific Ocean region and thus will turn over a new page in the earth science research.Through the main arterial photo-electric cable,it connects instruments and equipment at five nodes and makes long-term real-time observation at sea bottom.With a strong data management and filing system,it transmits observation data in a real-time way for scientists and science enthusiasts to use free of charge.Canadian submarine observation technology is mainly applied in such aspects as detecting submarine volcanic activities,monitoring seismic and tsunami activities of this region constantly,probing into minerals,metals and hydrocarbon resources,deeply studying interaction between ocean and atmosphere,understanding the cyclic process of marine hothouse gas,exploring the secrets of marine ecological system and investigating problems like the marine periodic changes,the creation and regeneration of energy resources,the marine mammal community,the storage of marine fishery,and the pollution and toxic spread.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.014 |
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".