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Record W4210258906 · doi:10.1071/rd21233

In vitro transmission of Chlamydia using naturally infected koala (Phascolarctos cinereus) semen

2022· article· en· W4210258906 on OpenAlex
Lyndal Hulse, Kenneth W. Beagley, Rebecca Larkin, Stephen D. Johnston

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

VenueReproduction Fertility and Development · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsPhascolarctos cinereusSemenBiologyChlamydiaVirologySexual transmissionIn vitroMicrobiologyImmunologyMedicinePopulationGenetics

Abstract

fetched live from OpenAlex

Transmission of Chlamydia pecorum infection has generally been assumed to be via the urogenital route and in an attempt to confirm this we investigated an in vitro method of Chlamydia infection using naturally infected koala semen to inoculate a cell line and attempt to estimate C. pecorum infectious load. A total of 57% of 122 koala semen samples had low C. pecorum copy number or no burden, while 18% of semen samples contained >10000 inclusion-forming units/mL, as determined by quantitative polymerase chain reaction. In vitro inoculation of a McCoy cell line resulted in successful infection from 4% of semen samples where C. pecorum burden was >105 inclusion-forming units/mL. Our preliminary study suggests that transmission of C. pecorum infectious dose may be restricted to peak bacterial shedding in semen associated with recent infection. Here, we report venereal transmission of C. pecorum in koala semen is possible; however, we speculate that antimicrobial factors and innate immune function receptors associated with semen may inhibit chlamydial growth. These mechanisms have yet to be reported in marsupial semen.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.333
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.287
Teacher spread0.260 · 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