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Record W2274519712 · doi:10.7773/cm.v17i2.803

Effect of season, sex and reproduction on zinc concentration in the soft tissues of Meretrix casta (Chemnitz) (Mollusca: Bivalvia) collected from Vellar Estuary, Porto Novo, India

2017· article· en· W2274519712 on OpenAlex
A. Rajan, B. Shanthi, M. Kalyani

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiencias Marinas · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAdductor musclesEstuaryGonadZincBiologyMolluscaPerna viridisBivalviaCarangidaeFisheryAnimal scienceZoologyAnatomyMusselChemistry

Abstract

fetched live from OpenAlex

The investigation was undertaken to determine the impact of ecological and biological factors on the bio-accumulation of zinc in Meretrix casta collected from Vellar Estuary. The concentration of zinc in water, sediment, whole animal tissues and different soft body parts, such as adductor muscle, foot, mantle, gill, gonad and digestive diverticula of both male and female, were analysed separately. A high concentration of zinc was discernible during the monsoon, whereas it was low during summer. The metal concentration in the sediment was higher than in the water and body tissues. Among the body tissues, gill tissues showed high values followed by the mantle, digestive diverticula, gonad, foot and adductor muscle. A statistical analysis revealed a significant positive correlation between zinc concentration in body tissues and ambient medium. A significant negative relationship was encountered between salinity and zinc concentration in animal body tissues.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.086
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.257
Teacher spread0.245 · 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