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Record W4310958156 · doi:10.1111/ppe.12937

Counterpoint: The value of benchmarking in observational studies of the longer term safety of antenatal corticosteroids

2022· article· en· W4310958156 on OpenAlexafffund
Jennifer A. Hutcheon, Jessica Liauw

Bibliographic record

VenuePaediatric and Perinatal Epidemiology · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicineCounterpointObservational studyBenchmarkingTerm (time)Value (mathematics)PediatricsIntensive care medicineInternal medicineStatistics

Abstract

fetched live from OpenAlex

Kajantie's 2 commentaries on our recent work 3 examining the generalisability of the Antenatal Late Preterm Steroids (ALPS) trial 4 of antenatal corticosteroid administration at late preterm gestation (34-36 weeks) to real-world populations.We agree with Kajantie 2 that the unknown potential for harm to child neurodevelopment is a critical knowledge gap for informing clinical decision-making on antenatal corticosteroid administration at late preterm ages.We also agree that observational data play an important role in understanding longer-term safety, as evidence from follow-up of randomised trials is unconvincing due to small sample sizes and high losses to follow-up.Yet, we have profound concerns

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.138
GPT teacher head0.413
Teacher spread0.275 · 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.

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

Citations8
Published2022
Admission routes2
Has abstractyes

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