Bibliographic record
Abstract
Seasonal variation in Fe and Mn concentrations were determined in seawater, sediment and algae (Padina gymnospora and Acanthophora spicifera) in the vicinity of Tuticorin port. Fe and Mn were appreciably higher than other parts of the Indian coast. High content of Fe and Mn were observed in seawater during northeast monsoon (November and December) and postmonsoon (January and March) seasons and in sediment Fe and Mn concentrations were high during monsoon (July to October) and postmonsoon (January, Feberuary) seasons due to increasing inputs of land runoffs. Algae also concentrated more metals during monsoon and postmonsoon seasons. Significantly higher Fe concentration in algae than other parts of the Indian coast reflects the intensity of Fe pollution in Tuticorin coast.
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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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.989 | 0.991 |
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".