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Record W4381737302 · doi:10.37766/inplasy2023.6.0068

Serum chemerin as a biomarker of pre-eclampsia

2023· report· en· W4381737302 on OpenAlexaboutno aff
Yue Xie, Xiaozhen Quan, Xuezhou Yang

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsChemerinSubgroup analysisObservational studyPreeclampsiaMedicineMeta-analysisBiomarkerMEDLINEScale (ratio)Computer scienceInternal medicinePregnancy

Abstract

fetched live from OpenAlex

Comparator Not develop preeclampsia during follow-up. Study designs to be included Observational studies.Eligibility criteria Studies reported the level of blood chemerin between pregnant women with and without preeclampsia. Information sources Medline, Web of Science, and Embase. Main outcome(s) Circulating level of chemerin between case and control. Additional outcome(s) None.Data management Use excel and endnote software to manage data.Quality assessment / Risk of bias analysis Use the Newcastle-Ottawa Scale for quality evaluation. Strategy of data synthesisRandom effects model will be used, to incorporate heterogeneity.Sensitivity and subgroup analyses may be used to explore the source of heterogeneity. Subgroup analysisAccording to predefined study characteristics, such as design, timing and methods for measuring chemerin, and severity of preeclampsia.Sensitivity analysis Sequencially exluding one dataset at a time to evaluate the influence of each study on the results of meta-analysis.

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)0.005
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.118
GPT teacher head0.391
Teacher spread0.272 · 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
Published2023
Admission routes1
Has abstractyes

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