MétaCan
Menu
Back to cohort

Brucellosis a possible link to Increased Stillbirths: A Population based Study from Malta, 1919-1954

2024· preprint· en· W4396534070 on OpenAlexaff
Lianne Tripp, Larry A. Sawchuk, Mahinda Samarakoon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsBrucellosisContext (archaeology)Zoonotic diseasePopulationDiseaseMedicineDemographyEnvironmental healthVeterinary medicineGeographyPathology

Abstract

fetched live from OpenAlex

This study is novel in that it quantitatively exams the impact of human brucellosis, an endemic zoonotic disease in Malta from 1919 until 1954, and the impact on reproductive loss through stillbirths. Based on regression analysis, brucellosis had a statistically significant effect (t = 2.8986, p = 0.0039) on stillbirth rate for males, but the effect of brucellosis on stillbirths is not statistically significant for females (p = 0.9103). This paper points to the importance of brucellosis, one of the most common zoonotic diseases, as having implications for health burden in women and fetuses in the contemporary context; this relationship has been largely ignored in the literature.

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)0.001
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 score0.117
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.086
GPT teacher head0.372
Teacher spread0.286 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicBrucella: diagnosis, epidemiology, treatmentFrench-language works237,207