Bibliographic record
Abstract
Monthly variations of temperature, salinity, dissolved oxygen (DO), pH and transparency in the Rushikulya Estuary, Orissa, India were studied over two annual cycles (January 1988-December 1989) at 5 stations covering the entire stretch of the estuary. Each of these hydrographic parameters showed significant spatial and seasonal variations. The water temperature was mostly influenced by atmospheric temperature rather than the ingress and outgress of seawater into and from the estuary. Salinity variations were more conspicuous than the other parameters analysed. The surface water salinity ranged from 1.0 to 34.7 x 10/3 during 1988, from 1.0 to 35.7 x 10/3 during 1989. Vertical salinity gradient was prominent only in July during the first year and from July to September in the second year. Annual cycle of salinity is unimodal with peak in April/May and low in August/September. The spatial and seasonal distribution of DO showed considerable variability
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.988 | 0.989 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".