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Record W2499814589 · doi:10.1097/paf.0000000000000258

Postmortem Body and Organ Measurements in Neonates and Infants

2016· article· en· W2499814589 on OpenAlexaffabout
Audrey-Ann Marie Evetts, Michael J. Shkrum, Elena Tugaleva

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2016
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

It is common practice in pediatric autopsies to compare the body and organ measurements of the deceased child against the existing reference data. Although a number of resources are available, many are outdated and have significant limitations. The goal of this study was to assess the reference sources currently used by the Ontario pathologists in pediatric autopsies. A survey of 14 Ontario pathologists, who do coroners' pediatric autopsies, identified 20 publications commonly referenced for body and organ measurements. Of all the cited sources, only a few had all the features regarded by the pathologists as ideal for a reference source. These features included accessibility to the source, large sample size, defined control populations, statistical analyses, and sex distinctions. The results of this study will be used to guide the development of a new reference, based on Ontario data, that will enhance measurement standards in pediatric autopsy practice.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.303
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.017
GPT teacher head0.297
Teacher spread0.280 · 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

Citations10
Published2016
Admission routes2
Has abstractyes

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