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Record W2898642975 · doi:10.26879/200

Thecamoebian communities as proxies of seasonality in Lake Sadatal in the Ganga Yamuna Plains of North India

2012· article· en· W2898642975 on OpenAlexaff
Akhlaq A Farooqui, Arun Kumar, Graeme T. Swindles

Bibliographic record

VenuePalaeontologia Electronica · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsCarleton University
FundersKing Fahd University of Petroleum and Minerals
KeywordsSeasonalityGeographyPhysical geographyEcologyBiology

Abstract

fetched live from OpenAlex

Thecamoebians are testate protists that occur in a variety of freshwater habitats and brackish environments. They have been successfully used as proxies for a variety of environmental and climatic parameters in limnological and paleolimnological studies. The perennial Lake Sadatal is situated near the small town of Mallanwan (Latitude 273 ' 0" North and Longitude 80 9' 0" East) in the Ganga-Yamuna Plains of North India. Lake Sadatal is a shallow remnant of a past oxbow lake left by the meandering Ganga River and its tributaries (maximum depth ~1.5 m during summer and ~3.0 m during July-August monsoon season). The soil around this region is saline, sodium rich, and the maximum soil alkalinity is pH 10. This region shows strong seasonality, and average atmospheric temperatures during winter (December-March) range between 7-20C and during summer (April-June) range between 21-45C (2005-2007). Taxonomically diverse and mixed thecamoebians were recovered from Lake Sadatal showing distinct summer and winter communities for three years. Centropyxids and Arcellenids dominate the low humidity, low precipitation cooler months (October-March) whereas Amphitrema spp. and Difflugia oblonga "triangularis" dominate summer and the high precipitation, high humidity monsoon months (April-September). Dominance of Amphitrema spp. is related to abundance of aquatic weed Lemna detritus at the lake bottom during summer. Total concentrations of thecamoebians were higher during summer monsoon months than winter.

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 score0.718
Threshold uncertainty score0.991

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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

Citations23
Published2012
Admission routes1
Has abstractyes

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