Simulated sea level variation around Prince Edward Island, Canada
Bibliographic record
Abstract
This is the simulated sea level variation rebuilding for the nearshore areas around Prince Edward Island (PEI), Canada. The Fisheries and Oceans Canada only has one permanent tide observation station running in PEI, which is the Charlottetown Tide Station. This simulation is to break through the limitation of the lack of long-term high-temporal-resolution regional sea level record around PEI, which applies to several locations with historic short-term records of temporary tide stations across PEI.The principle of this rebuilding is that - the water levels of each selected temporary tide station have the linear correlation with a geographically-connected permanent station, which generally has a significantly longer-term of record and can be used as its reference station. The correlations between the temporary stations and their reference stations can be got once they have the temporally-overlapped records and their coefficient of determination (R-squared) is over 0.6.It should be noted that the availability of the record of the simulated rebuilding for the locations of temporary stations fully depends on their reference stations. There are some unavoidable data losses in the records of the selected permanent stations, which could result from equipment failure, extreme weather, equipment maintenance, and etc. So, if the reference stations have any lost data points, they will be reflected in the simulated data for the associated temporary stations.The original records of the water levels can be found at the Canadian Tides and Water Levels Data Archive. The datums used in this dataset are Chart Datums (CDs), and the temporal resolution is hourly. More details of this dataset will be provided in the data descriptor of us.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".