Diversity And Distribution Of Molluscan Fauna From The Coastal And Mangrove Ecosystems Of Kakinada, Andhra Pradesh
Bibliographic record
Abstract
In the present study conducted along the Kakinada coast and its associated mangrove regions from 2013 to 2014, a total of 185 molluscan species were identified.These species were classified into three major classes: Gastropoda, Bivalvia, and Cephalopoda, which were further subdivided into 7 subclasses, 24 orders, and 69 families.Among these, the class Gastropoda exhibited the highest species richness, comprising 112 species distributed across 5 subclasses, 11 orders, and 46 families.The families Cerithidae, Nassaridae, Trochidae, Turitellidae, and Turridae were particularly dominant among the gastropods.Following closely, the class Bivalvia contained 66 species categorized into 1 subclass, 11 orders, and 21 families, with families such as Arcidae, Veneridae, Donacidae, and Pectinidae being especially prominent.The class Cephalopoda was represented by 7 species across 1 subclass, 2 orders, and 2 families in the study locations.Several bivalve and gastropod species, including Tegillarca granosa, Placuna placenta, Meretrix meretrix, Magallana bilineata, Meretrix casta, Perna viridis, Pirenella cingulata, Telescopium telescopium, Umbonium vestiarium, Volegalea cochlidium, Turritella duplicata, Murex trapa, and Tonna dolium form a dominant fishery and possess considerable commercial value.These species are crucial to local economies, supporting both the fishing industry and various related sectors.Their significance extends beyond mere economic value, as they also play vital roles in the marine ecosystem, contributing to biodiversity and ecological balance.
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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 | 0.001 | 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) | 0.001 | 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 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".