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Record W2998464083 · doi:10.35691/jbm.8102.0095

POPULATION TREND OF HERONS AND EGRETS (FAMILY: ARDEIDAE) IN MARALA HEAD FROM OCT 2000- SEP 2001

2018· article· en· W2998464083 on OpenAlexaff
Zahid Bhatti, Fakhra Nazir, Safdar Ali Shah

Bibliographic record

VenueJournal of Bioresource Management · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsNutrasource
Fundersnot available
KeywordsEgrettaArdeaEgretBiologyEcologyPopulationZoologyHeronDemography

Abstract

fetched live from OpenAlex

The species cited from Pakistan included Ardea goliath, Ardea cinerea cinerea, Ardea cinerea rectirostris, Ardea purpurea manilensis and Butorides striatus javanicus, Ardeola grrayii grayii and Bubulcus ibis coromandus, Ardea alba alba, Ardea alba modesta, Egretta intermedia intermedia, Egretta garzetta garzetta and Egretta gularis schistacea, Nycticorax nycticorax nycticorax, Ixobrychus minutus minutus, Ixobrychus sinensis and Ixobrychus flavicollis flavicollis.The study was carried out from October 2000 to September 2001, spanning the area from Kikar Post to Head Marala.Point count method was used to record the number of birds observed (Ralph et al., 1995).The birds were further identified using literature.Cattle egret (Bubuleus ibis), little egret (Egretta garzetta), intermediate egret (Egretta intermedia) and pond heron (Ardeola grayeii) were present at river Jammu Tawi, river Chenab and river Manawar Tawi throughout study period.However, Egretta alba was only observed from December to January.

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 score0.041
Threshold uncertainty score0.082

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.231
Teacher spread0.212 · 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
Published2018
Admission routes1
Has abstractyes

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