MétaCan
Menu
Back to cohort

Ultrastructural features of the gametogenic and sporogonic development of

2014· article· en· W6884572558 on OpenAlexfundno aff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsUltrastructureContext (archaeology)CytoplasmZygoteParacrystallineVitellogenesisParasite hostingVacuole

Abstract

fetched live from OpenAlex

Stages of gametogony and sporogony of the haemogregarine Hepatozoon sipedon, an apicomplexan parasite of the Northern water snake, Nerodia sipedon sipedon, were studied in the mosquito, Culex pipiens, by electron microscopy. Four days after mosquitoes fed on an infected snake, microgamonts and macrogamonts were observed in syzygy in parasitophorous vacuoles within fat body cells of the haemocoel. During microgametogenesis, two biflagellated microgametes were formed, one of which fertilized the macrogamete. After fertilization, zygotes increased rapidly in size, accumulating reserve material in the form of lipid inclusions. Beginning at 16 days post-feeding (PF), the nucleus of the immature oocyst underwent multiple divisions in the first stage of sporoblast formation. Small crystalloid bodies initially appeared in the cytoplasm of the dividing oocyst at 20 days PF. At 24 days PF, the oocyst contained hundreds of sporoblasts, each of which matured as early as 28 days PF into thick-walled sporocysts containing eight sporozoites and a large residual body. Sporozoites contained a large crystalloid body comprised of tightly-packed particles assembled in a paracrystalline array. The use of ultrastructural characters in the differentiation of Hepatozoon species is discussed in context with the current phylogenetic hypotheses of adeleorin taxa.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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 designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSpringer Link (Chiba Institute of Technology)Same topicVector-borne infectious diseasesFrench-language works237,207