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Record W6939370017 · doi:10.60692/xpnx1-4rr70

NEW RECORD OF CESTODE GENUS DILEPIS WENILAND, 1858 IN AVIAN HOST LITTLE CORMORANT, MICROCARBO NIGER (AVES: PHALACROCORACIDAE) OF DISTRICT KAMBER-SHAHDADKOT, SINDH PROVINCE, PAKISTAN.

2023· article· en· W6939370017 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsFaunaGenusHost (biology)HelminthsCormorantClearanceCestoda

Abstract

fetched live from OpenAlex

Present study aimed to investigate Cestode fauna of avian host Little Cormorant, Microcarbo niger captured from Kamber-Shahdadkot district, Sindh province of Pakistan.Eight Little Cormorant Microcarbo niger hosts were investigated for the presence of Cestode parasites.Anesthetized birds were dissected and entire alimentary canal and associated organs were removed.A total of five specimens of Dilepidid Cestodes were recovered from the intestine of three hosts.Cestodes collected from the freshly dissected hosts were initially placed in saline solution and dehydrated in graded series of ethanol, stained with borax carmine, cleared in clove oil and xylene and finally mounted in Canada balsam permanently.Parasitic examination revealed an apparently undescribed species of genus Dilepis Weniland, 1858 from the intestine of the host, M. niger.Recovered specimens differ remarkably from other known species of genus Dilepis Weniland, 1858 in having some unique features such as, 12 rostellar hooks, long neck, four pre-ovarian testes, unilateral genital pore and spinose cirrus sac located at lower part of each segment.On the basis of the above morphometric variations, but absence of molecular study, present specimens are identified as Dilepis sp.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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 designCase report
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueGreater South Information System→Same topicParasite Biology and Host Interactions→French-language works237,207→