@ 1982, by the American Society of Limnology and Occanogrnphy, Inc. On the free surface oscillations of Lake Ontario
Bibliographic record
Abstract
Standard l-h readings of water level are shown to be unsuitable for determining the periods of seiches of Lake Ontario due to contamination by high-frequency noise (aliasing). During an extensive study of the physical limnology of Lake Ontario, readings of water level at 17 tidal gauges and at 5-min intervals were used to form smoothed 30-min estimates of water level. Spectral analyses of these data revealed that numerically calculated periods by the finite element method were within several percent of observed periods and that computed distriblltions of amulitutle and Dhuse of the four lowest gravitational modes generally agreed- with field data. Computation of the free periods of os-cillation of large lakes has attracted much interest in recent years. For instance, the ftlll two-dimensional equations of mo-tion, taking into account variable depth and the earth’s rotation, were solved by Hamblin (1972) and by Rao and Schwab (1976) for the lowest six gravitational
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.244 | 0.169 |
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".