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Record W2893773006

First Report of a Hepatozoon sp. (Apicomplexa: Adeleina: Hepatozoidae) from Midland Water Snake, Nerodia sipedon pleuralis (Ophidia: Colubridae), from Missouri

2018· article· en· W2893773006 on OpenAlexaboutno aff
Chris T. McAllister, Thomas J. Fayton, Henry W. Robison

Bibliographic record

VenueProceedings of the Oklahoma Academy of Science · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsHepatozoonBiologyColubridaeZoologyGenusSubspeciesEcology
DOInot available

Abstract

fetched live from OpenAlex

Intraerythrocytic hematozoans of the genus Hepatozoon (Miller, 1908) occur in the gamont stage in birds, mammals, and all groups of reptiles (Telford 2009). For example, one group of reptiles, the North American watersnakes of the genus Nerodia, are important hosts of a variety of these parasites (Gibbons and Dorcas 2004). The northern watersnake, Nerodia sipedon sipedon (Linnaeus, 1758) has been previously reported to harbor He. sipedon Smith, Desser, and Martin, 1994 from Ontario, Canada (Smith et al. 1994; Smith and Desser 1998). However, another widely ranging subspecies, the midland watersnake, N. s. pleuralis (Cope, 1892), has not previously been reported as a host nor has any snake, to our knowledge, been reported from Missouri with these hemoparasites. Here, we document, with photomicrographs and select measurements, the first report of a Hepatozoon sp. in N. s. pleuralis, as well as documentation, to our knowledge, from any ophidian host in Missouri. In addition, a summary of intraerythrocytic hematozoans of North American watersnakes and  swampsnakes is provided.

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 score0.014
Threshold uncertainty score0.028

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.243
Teacher spread0.224 · 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
Published2018
Admission routes1
Has abstractyes

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Same venueProceedings of the Oklahoma Academy of ScienceSame topicVector-borne infectious diseasesFrench-language works237,207