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Record W2979472632 · doi:10.5539/gjhs.v11n12p65

Risk Factors and Altered Parameters in Pregnant Women Infected by Toxoplasma gondii in Lebanon

2019· article· en· W2979472632 on OpenAlexvenueno aff
Farouk Kaakour, Leila Ben Farhat, Widad Dia, Seifedine Kadry

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsToxoplasma gondiiToxoplasmosisOffspringMedicinePregnancyObstetricsImmune systemRisk of infectionImmune statusImmunologyBiologyAntibody

Abstract

fetched live from OpenAlex

Toxoplasmosis is a parasitic infection caused by Toxoplasma gondii. Both animals and humans could develop the infection through several ways including diet, unhygienic habits, direct contact to soil, blood transfusions and organ grafting. Although all people are at risk of the infection, ones with weakened immune systems are at much higher risk, out of these are cancer patients, pregnant women, fetuses and newborns. In our study, we collected data from three gynecologists in two Lebanese regions in order to evaluate the prevalence of the infection and the risk factors associated with it. We found out that the increase in age and pet ownership is directly correlated with the number of infected women and the infection of the women is directly related to the mode of delivery being c-section and having infected offspring.

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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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