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Record W1899931525 · doi:10.5376/ijms.2014.04.0006

Impact of Sea Level Change of Caspian Sea on Gastropods Temporal and Spatial Variation

2014· article· en· W1899931525 on OpenAlexvenueno aff
Homayoun Khoshravan

Bibliographic record

VenueInternational Journal of Marine Science · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsVariation (astronomy)Spatial changeSpatial variabilityOceanographySea levelGeographyPhysical geographyGeologyStatisticsMathematics

Abstract

fetched live from OpenAlex

Determination, localized and frequency control and distribution condition of Gastropod species in several sedimentary environment in Miankaleh territory, and their temporal and spatial variation by Caspian rapid sea level change are the main targets in this research. By selecting 8 measuring transects along the study area, 24 sediment samples and 8 water samples have been taken for biofacies and chemical properties analysis. At parallel of above mentioned subject, deformation and displacement degree of shore line of theCaspian Seaduring 38 years was evaluated by remote sensing and GIS modeling. The results show that the most important species of Gastropod totally include: 10 species associated to 3 genera of two family of Prosobranshia. Also some species of Gastropod was selected due to sedimentary environment bioindicators. Water chemical quality and quantity indicate that the salinity, EC, pH degree is different in several parts of study area. Sediments grain size gradually has decreased from the West to East region of Miankaleh territory. Instead of in the same direction near to Gorgan Golf shore line the sediment particles size have been increased. Gastropod species accumulation and concentration tendency convert to high population in saline low land and lagoon with shallow depth and gentle slope of bottom. The correlation of information layers of Gastropod species location map with shore line displacement in GIS modeling indicate vital variation more in the central and east part of Miankaleh.

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 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)0.000
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 score0.180
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.262
Teacher spread0.234 · 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 teacher head, 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
Published2014
Admission routes1
Has abstractyes

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