MétaCan
Menu
Back to cohort

Continuous monitoring of cervical dilatation and fetal head station during labor

2006· article· en· W1964635500 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Engineering & Physics · 2006
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsFetal headCervical dilatationCervixMedicineFetal monitoringHead (geology)ObstetricsFetusPregnancyInternal medicine

Abstract

fetched live from OpenAlex

An ultrasound-based computerized system was developed for monitoring cervix dilatation and fetal head station during labor. The system was designed to provide continuous and accurate assessment of the progression of labor. The computerized labor-monitor (CLM) was tested in the laboratory and was studied in over 95 women during labor. The laboratory test showed that the mean error of measurement is 0.1 mm with standard deviation of 1.14 mm. In the clinical experiments, safety of the various system components was demonstrated and partograms were compared to manual measurements. The systematic error of the fetal head station measurement is estimated as 10-20%, depending on patient's anatomy. In addition, the clinical tests indicated that measurements of the changes of both cervix dilatation and fetal head station are feasible. The CLM is expected to change patient management in the labor room. It will enable timely recognition of abnormal labor patterns such as dysfunctional and precipitous labor. Continuous accurate data will allow earlier diagnosis and intervention that is very likely to improve both mother's and baby's clinical outcome.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.292

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 integrity0.0000.000
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 head0.009
GPT teacher head0.285
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