SOGC POLICY STATEMENT Non-Medical Use of Fetal Ultrasound
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.074 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.083 | 0.022 |
| Insufficient payload (model declined to judge) | 0.084 | 0.097 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".