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Record W4413087360 · doi:10.53555/sfs.v6i2.3663

Some Aspects of Biology of Bivalves from Kakinada Bay, East Coast of India

2020· article· en· W4413087360 on OpenAlexvenueno aff
Sandhya K.M., Y. P., Rukmini Sirisha I., Teja G. Teja G., C. S.

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBayAllometryBiologyPerna viridisSpawn (biology)Sexual maturityAnimal scienceFisheryMusselEcologyOceanography

Abstract

fetched live from OpenAlex

Biological aspects such as maturation, size at first maturity, spawning season, sex ratio, length – weight relationship, age and growth studies of Perna viridis, Crassostrea madrasensis, and Meretrix casta have been carried out during June 2013- May 2015 from Kakinada Bay. A scale of four stages of maturity i.e. maturing, matured, spent and recovery was noticed in the present study. The size at first maturity in females was reported at 7.2 cm, 7.2 cm, and 4 cm length, whereas in males it was reported at 7.2 cm, 8.7 cm, and 4 cm length for P. viridis, C. madrasensis, and M. casta respectively. These bivalves spawn throughout the year with peak spawning season during pre-monsoon in P. viridis, C. madrasensis and M. casta. Females were dominant in the catches of bivalves during the study period. The growth pattern in bivalves indicated that P. viridis and C. madrasensis showed negative allometric growth, while M. casta showed isometric growth. The growth parameters noted were L∞ = 22.4 cm, K= 0.31, to = -0.34 in P. viridis; L∞ = 22.6, K = 0.40, to = -0.43 in C. madrasensis; and L∞ = 7.7, K = 0.20, to = -0.35 in M. casta. The growth rate was high in young bivalves and decreased subsequently towards advancement of age.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.091
GPT teacher head0.263
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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