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Record W7095591584

SOGC POLICY STATEMENT Non-Medical Use of Fetal Ultrasound

2015· article· en· W7095591584 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFetusUltrasoundHealth professionalsFood and drug administrationPregnancyStatement (logic)Fetal movement
DOInot available

Abstract

fetched live from OpenAlex

Fetal ultrasound is a valuable resource for dating a preg-nancy, for ensuring fetal health and appropriate growth, and for assessing fetal development. Ultrasound in a care-fully monitored and supervised environment is also impor-tant in education and research; however, the fetus should not be exposed to ultrasound for commercial and entertain-ment purposes. This recommendation has been made by Health Canada1 and the United States Food and Drug Administration (FDA)2 and by reputable professional med-ical and sonographic bodies.3–9 SOGC also strongly opposes the non-medical use of ultrasound to view or pho-tograph the fetus or for the sole purpose of determining fetal sex when there is no medical indication to scan. Although there have been no fetal abnormalities linked to diagnostic ultrasound, it involves targeted energy exposure to the fetus, and there remains a theoretical risk for subtle

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)0.027
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.084
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.074
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.004
Science and technology studies0.0060.006
Scholarly communication0.0120.005
Open science0.0070.005
Research integrity0.0830.022
Insufficient payload (model declined to judge)0.0840.097

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 head0.094
GPT teacher head0.295
Teacher spread0.201 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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