ACR Appropriateness Criteria® Growth Disturbances — Risk of Intrauterine Growth Restriction
Bibliographic record
Abstract
Fetal growth disturbances include fetuses at risk for intrauterine growth restriction. These fetuses may have an estimated fetal weight at less than the 10% or demonstrate a plateau of fetal growth with an estimated fetal growth greater than the 10%. Uteroplacental insufficiency may play a major role in the etiology of intrauterine growth restriction. Fetuses at risk for intrauterine fetal growth restriction are susceptible to the potential hostility of the intrauterine environment leading to fetal hypoxia and fetal acidosis. Fetal well-being can be assessed using biophysical profile, Doppler velocimetry, fetal heart rate monitoring, and fetal movement counting.Fetal growth disturbances include fetuses at risk for intrauterine growth restriction. These fetuses may have an estimated fetal weight at less than the 10% or demonstrate a plateau of fetal growth with an estimated fetal growth greater than the 10%. Uteroplacental insufficiency may play a major role in the etiology of intrauterine growth restriction. Fetuses at risk for intrauterine fetal growth restriction are susceptible to the potential hostility of the intrauterine environment leading to fetal hypoxia and fetal acidosis. Fetal well-being can be assessed using biophysical profile, Doppler velocimetry, fetal heart rate monitoring, and fetal movement counting.The ACR Appropriateness Criteria® are evidence-based guidelines for specific clinical conditions that are reviewed every two years by a multidisciplinary expert panel. The guideline development and review include an extensive analysis of current medical literature from peer reviewed journals and the application of a well-established consensus methodology (modified Delphi) to rate the appropriateness of imaging and treatment procedures by the panel. In those instances where evidence is lacking or not definitive, expert opinion may be used to recommend imaging or treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".