Interrelationship Between Planktonic Diatoms and Selected Governing Physicochemical Parameters of the Hooghly Estuary, Bay of Bengal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The estuarine ecosystem is generally dynamic and mostly sets the stage for the interplay between phytoplankton such as diatom and the water quality parameters. The study was performed at selected sites of Hooghly estuary to monitor the effect of chosen physicochemical parameters (pH, salinity, dissolved oxygen, nutrients etc.) in relation to seasonal fluctuations in the diatom communities (Chl a and population density). The study encompassed a period of two years (Nov’12 to Oct’14). Seasonal variations in the Redfield ratio (N: P) during the tenure of the study ranged from 5.52 during premonsoon to 14.43 during monsoon. Low salinity and high inorganic compounds (NO 3 , PO 4 and SiO 4 ) levels in the coastal water could have contributed to the predominance of diatoms over dinoflagellates, as observed during the study. The study also reflected the fact that in the mangrove dominated estuarine ecosystems, diatom species like Skeletonema sp., Thalassionema spp., Synedra sp. etc possess potentials to be used as bioindicators to nutrient enriched ecosystem and therefore, can serve as ecological tools to monitor water quality.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it