Seiches in Petrozavodsk bay of the lake Onego
Bibliographic record
Abstract
The analysis of observation data on fluctuations in the level and velocity of currents in the Petrozavodsk Bay of Lake Onega, performed in 2016–2017, was carried out. Level oscillations were measured with a discreteness of 10 s using two TDR-2050 devices (RBR Ltd., Canada). Spectral analysis was performed using the simple Fourier transform method after one-minute data averaging to reduce instrument noise. Energy-carrier periods corresponding to the seiches of Petrozavodsk Bay and the Lake Onega are identified. Current velocities were measured with Aquadopp HR-Profiler (Nortek, Norway). Within the framework of the linear long wave theory, seiche oscillations are considered in a model basin approximating the Petrozavodsk Bay with regard to the Ivanovskiye Islands. Using an analytical solution, estimates for the periods of the higher seiche modes and the corresponding maximum wave flow velocities are obtained for the Petrozavodsk Bay. The comparison of theoretical estimates with the data of field observations, was showed satisfactory agreement.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".