P87Cardiotocography in pregnancies with absent or reversed end‐diastolic velocity in the umbilical artery: a mathematical model for estimating the probability for fetal acidosis at birth
Bibliographic record
Abstract
Background A study of cardiotocographic (CTG) variables and acidosis at birth (umbilical arterial pH < 7.20) in AREDV. Methods The last CTGs of 127 AREDV cases were studied. The variables analyzed by the Logistic Regression model were: baseline, accelerations, variability (variab.), sinusoidal pattern, bradycardia, late and variable (var.) decelerations (mild, moderate and severe). Results The maximum likelihood estimates are shown below: Variable Parameter estimate Standard error P Odds ratio Intercept −2.1210 2.0741 0.3065 – GA (weeks) 0.0329 0.0654 0.6150 1.033 variab. 5–9 bpm 0.5987 0.5118 0.2421 1.820 Variab. < 5 bpm 1.9443 0.7576 0.0103 6.989 Late decel. 1.4429 0.4823 0.0028 4.233 Mild var. decel. −0.4138 0.5239 0.4296 0.661 Mod. var. decel. −0.2440 0.6991 0.7271 0.783 Sev. var. decel. 1.2156 0.6260 0.0522 3.372 Conclusion The results made it possible to develop a mathematical model for estimating the probability of acidosis at birth, through the analysis of cardiotocographic variables.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".