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Placental mesenchymal dysplasia and an estimation of the population incidence

2012· article· en· W1510077857 on OpenAlexaff
Xing Zeng, Moy Fong Chen, Yves-André Bureau, Richard Brown

Bibliographic record

VenueActa Obstetricia Et Gynecologica Scandinavica · 2012
Typearticle
Languageen
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsUniversité de SherbrookeMcGill University
Fundersnot available
KeywordsMedicineIncidence (geometry)EtiologyPopulationObstetricsPlacenta DiseasesDysplasiaPathologicalGynecologyPediatricsPathologyPregnancyPlacentaFetusBiology

Abstract

fetched live from OpenAlex

Placental mesenchymal dysplasia (PMD) is a rare placental malformation of as yet undetermined etiology. We report a single center's experience of this diagnosis and present an estimation of the population incidence. Within our institution, all placentae are examined within a pathology department that provides a dedicated perinatal service. In this study, we evaluated the incidence of PMD over a period of 18 years following the description and recognition of PMD as a pathological diagnosis. During the period 1991-2009, only two cases were identified amongst over 95 000 deliveries at our institution. This series of placental examinations is by far the largest in a normal population within which the occurrence of PMD is reported, and the resulting incidence of only 0.02 per 1000 deliveries is some 10 times less than that which has previously been estimated.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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

Citations31
Published2012
Admission routes1
Has abstractyes

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