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Record W2998131925 · doi:10.35691/jbm.8102.0097

CHECKLIST OF ZOOPLANKTONS IN DIFFERENT RIVERS OF BAJWAT AREA

2018· article· en· W2998131925 on OpenAlex

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

VenueJournal of Bioresource Management · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsNutrasource
Fundersnot available
KeywordsChecklistEnvironmental scienceForestryGeographyBiology

Abstract

fetched live from OpenAlex

Zooplanktons are important fish and waterfowl food. Limnological studies of Marala Wetlands, a complex created by three rivers, i.e., Jammu Tawi, Chenab and Manawar Tawi, entering Bajwat area located 25 km from North of Sialkot city from state of Jammu and Kashmir, were carried out between October, 2000 to September 2001. This survey was carried out to create a checklist of zooplanktons existing in the study site which would help in future studies relating to aquatic biodiversity and ecological studies of wetlands. A minimum of 25 species of zooplanktons were present in the wetland area, which can be included into 4 major animal groups. Amoeba, Paramecium, Opalina and Euglena were the dominant species. Crustaceans were represented by Daphnia, Moina, Cyclops. Insects observed at river Jammu included mosquito larvae, water spider and dragonflies of unidentified species. The Maximum number of zooplanktons were recorded in March, April, May & then in September and October as observed throughout study period.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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