Bibliographic record
Abstract
Surface accumulation of a long band of frothy material is frequently noticed in the Netravati-Gurpur and other estuaries along the central west coast of India. This is prominently seen in the flood phase of the tidal cycle, during summer. In order to understand its source and the process of formation, water samples along with frothy material were collected from the Netravati-Gurpur estuarine front during the summer of 1987. Also collected were riverine and estuarine-coastal suspended particulates and surficial sediments from the adjoining inner shelf. Salinity of water samples was measured and the remaining samples were subjected to bulk and partition geochemical analyses. Suspended particulate matter (SPM) concentrations in the estuarine front in the flood tide during summer (February-May) is anomalously higher (4,310 mg/l) than in riverine (51 mg/l) and estuarine-coastal (11 mg/l) waters during monsoon (June-September) and post-monsoon (October-January) seasons, respectively. The frothy material is composed chiefly of fine particles (< 63 microns) with a minor proportion of shells (foraminifers, ostracods and gastropods) and plant debris in the coarse fraction. Geochemically, the frothy material is similar to the Netravati-Gurpur SPM, but has low Al (13.87%), high organic matter (22.62%) and an order of magnitude higher Ca content (2.91 %). All these lines of evidence suggest that the frothy material is detrital and that it is derived from the marine environment by resuspension and landward transport of bottom sediments during the flood phase of the tidal cycle. This inference is in agreement with similar reports from many parts of the west coast of lndia. Implications of this process are discussed in terms of siltation in the navigational channel of the Old Mangalore Port, estuarine morphology and disposal of effluents from the existing and proposed industries along the west coast of India.
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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) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.010 | 0.004 |
| Insufficient payload (model declined to judge) | 0.992 | 0.994 |
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".