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Record W1541689172 · doi:10.1017/cbo9780511584985.007

Perinatal Group B streptococcal infections

2000· book-chapter· en· W1541689172 on OpenAlexaboutno aff
Vibhuti Shah, Arne Ohlsson

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typebook-chapter
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsnot available
Fundersnot available
KeywordsGroup (periodic table)MedicineGroup BSTREPTOCOCCAL INFECTIONSImmunologyPhysicsInternal medicine

Abstract

fetched live from OpenAlex

Infection is a major cause of perinatal morbidity and mortality (Christensen, 1982; Ohlsson et al., 1987). The aetiology of neonatal septicemia varies with geographical location and changes over time (Nyhan & Fousek, 1958; Ohlsson & Serenius, 1981; Ohlsson et al., 1986). From the 1960s onwards, Group B beta-haemolytic streptococcus (GBS) has been one of the most common causes of neonatal infectious morbidity and mortality in the USA (Eickhoffet al., 1964; Franciosi et al., 1973; McCracken, 1973), Canada (Allardice et al., 1982), the UK (Reid, 1975; Lloyd & Reid, 1976), Europe (Cayeux, 1972, Bergqvist, 1974; Bergqvist et al., 1978; Schroder & Paust, 1979; Speer et al., 1985; Vesikari et al., 1989) and Australia (Fliegner & Garland, 1990). GBS causes significant maternal perinatal morbidity (Institute of Medicine, 1985), bacteriuria in pregnancy (Hastings et al., 1986) as well as urinary tract (Munoz et al., 1992) and other infections in the adult non-pregnant population (Opal et al., 1988; Schwartz et al., 1991).

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.212
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2000
Admission routes1
Has abstractyes

Explore more

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