Tidal Components of Nahr-El-Qasr Station
Bibliographic record
Abstract
Tides attract humans’ attentions since thousands of years and observed as a phenomena affected by celestials and terrains parameters. The Nahr-El-Qasr, Latitude 32.00 N and Longitude 53.00 E, (see reference x) station situated in the heart of El-Qasabah and represents the tidal effects and water level fulctuations of the boundary river Arwand River. In this paper data of the water height for eight months from January 1998 to September 1999, in Nahr-El-Qasir, investigated. We applied spectral analysis to determine the tidal constituents. At first the water height data arranged in a time series form then using FFT method we find twenty four tidal constituents including MSf ، Mf ، 2Q1 ، Q1 ، Rho1 ، O1 ، M1 ، P1 ، K1 ، J1 ، OO1 ، 2N2 ، N2 ، Nu2 ، M2 ، Lambda2 ، L2 ، T2 ، K2 ، 2MK3 ، MK3 ، MN4 ، M4 ، MS4. The strongest component is Mf which shows that the main fluctuations are due to the astronomical origin. However considering f-number in American scale which is 1.43 the dominant tide is mixed and because of many tidal constituents with periods that are not recognized as standard periods, we can say that study area is strongly affected by the local parameters.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".